Papers
Wed 25 Sep 2024
349 papers
- Learning Bipedal Walking for Humanoid Robots in Challenging Environments with Obstacle AvoidanceDeep reinforcement learning methods → RL for robot locomotion and manipulation
- A Survey for Deep Reinforcement Learning Based Network Intrusion DetectionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Topological Foundations of Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Reinforcement Learning for Finite Space Mean-Field Type GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic WorkflowsLLM reasoning → Reasoning benchmarks and evaluation
- On Extending Direct Preference Optimization to Accommodate TiesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token ReductionEfficient LLM inference and serving → KV cache optimization
- Enhancing Interpretability in Deep Reinforcement Learning through Semantic ClusteringDeep reinforcement learning methods → Interpretable and logic-guided RL
- Post-hoc Reward Calibration: A Case Study on Length BiasLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward InferenceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Search for Efficient Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
- Internalizing ASR with Implicit Chain of Thought for Efficient Speech-to-Speech Conversational LLMLLM reasoning → Audio-language model reasoning
- Language Grounded Multi-agent Reinforcement Learning with Human-interpretable CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- VL4AD: Vision-Language Models Improve Pixel-wise Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited DataKnowledge distillation → Knowledge distillation for LLMs
- Consistent estimation of generative model representations in the data kernel perspective spaceDiffusion models → Diffusion foundations and sampling
- Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Empirical Asset Pricing with Large Language Model AgentsLLM agents and tool use → Financial trading and forecasting agents
- A random measure approach to reinforcement learning in continuous timeDeep reinforcement learning methods → RL theory and sample complexity
- Enhancing Guardrails for Safe and Secure Healthcare AILLM safety and security → Safety alignment, refusal and guardrails
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D DiffusionDiffusion models → 3D, point cloud and scene generation
- Attention Prompting on Image for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based AgentsLLM agents and tool use → GUI and mobile agents
- Landscape of Policy Optimization for Finite Horizon MDPs with General State and ActionDeep reinforcement learning methods → RL theory and sample complexity
- Language-oriented Semantic Communication for Image Transmission with Fine-Tuned Diffusion ModelDiffusion models → Diffusion for compression and wireless
- Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?LLM reasoning → Spatial and embodied reasoning +1
- Degradation-Guided One-Step Image Super-Resolution with Diffusion PriorsDiffusion models → Inverse problems and image restoration
- From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology SynthesisDiffusion models → 3D, point cloud and scene generation
- Scalable Multi-Robot Informative Path Planning for Target Mapping via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from DemonstrationOffline RL and imitation learning from data → Robot manipulation imitation learning
- PASS: Path-selective State Space Model for Event-based RecognitionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with DiffusionDiffusion models → Diffusion and flow policies for robotics +1
- DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance ScalingDiffusion models → Image generation, text-to-image and editing
- Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris RendezvousDeep reinforcement learning methods → RL for robot navigation and UAV control
- Automating Traffic Model Enhancement with AI Research AgentLLM agents and tool use → Multimodal and embodied agents
- Behavior evolution-inspired approach to walking gait reinforcement training for quadruped robotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- OffRIPP: Offline RL-based Informative Path PlanningOffline RL and imitation learning from data → Offline RL algorithms
- Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial ObservabilityDeep reinforcement learning methods → RL theory and sample complexity
- Symbolic State Partitioning for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- World Model-based Perception for Visual Legged LocomotionWorld models → Humanoid and legged locomotion world models
- Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn InteractionLLM safety and security → Prompt injection and agent security
- LLaMa-SciQ: An Educational Chatbot for Answering Science MCQLLM reasoning → Mathematical reasoning
- RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing SystemsLLM safety and security → Jailbreaking
- EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Vision-Language Model Fine-Tuning via Simple Parameter-Efficient ModificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-MakingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph UnlearningLLM safety and security → Graph unlearning
- Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World ModelsWorld models → World models for autonomous driving +2
- Speech Recognition Rescoring with Large Speech-Text Foundation ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Training Language Models to Win Debates with Self-Play Improves Judge AccuracySynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Judgment-of-Thought Prompting: A Courtroom-Inspired Framework for Binary Logical Reasoning with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Optimized Monte Carlo Tree Search for Enhanced Decision Making in the FrozenLake EnvironmentDeep reinforcement learning methods → RL theory and sample complexity
- CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion ModelsDiffusion models → Diffusion recommenders
- Claim-Guided Textual Backdoor Attack for Practical ApplicationsLLM safety and security → Backdoor and data poisoning attacks
- Achieving Stable High-Speed Locomotion for Humanoid Robots with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Semi-LLIE: Semi-supervised Contrastive Learning with Mamba-based Low-light Image EnhancementState-space sequence models (S4, Mamba) → Mamba for image restoration
- EventHallusion: Diagnosing Event Hallucinations in Video LLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labelingKnowledge distillation → Distillation for medical imaging
- FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-TuningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Dynamic-Width Speculative Beam Decoding for Efficient LLM InferenceEfficient LLM inference and serving → Speculative decoding
- AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned QuantizationEfficient LLM inference and serving → KV cache quantization
- Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
- A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations
- New technologies and AI: envisioning future directions for UNSCR 1540
- Embedding an ANN-Based Crystal Plasticity Model into the Finite Element Framework using an ABAQUS User-Material Subroutine
- An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications
- Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
- Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems
- Application of AI-based Models for Online Fraud Detection and Analysis
- DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications
- Most Influential Subset Selection: Challenges, Promises, and Beyond
- SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss
- HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing
- Stress Detection from Photoplethysmography in a Virtual Reality Environment
- Exploring the Use of ChatGPT for a Systematic Literature Review: a Design-Based Research
- Website visits can predict angler presence using machine learning
- Results of the Big ANN: NeurIPS'23 competition
- Solar Active Regions Emergence Prediction Using Long Short-Term Memory Networks
- Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction
- Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
- From Deception to Detection: The Dual Roles of Large Language Models in Fake News
- Sociotechnical Approach to Enterprise Generative Artificial Intelligence (E-GenAI)
- Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
- AI Enabled Neutron Flux Measurement and Virtual Calibration in Boiling Water Reactors
- Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
- Enhancing Recommendation with Denoising Auxiliary Task
- AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
- Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges
- Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning
- Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia
- Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
- Den-TP: A Density-Balanced Data Curation and Evaluation Framework for Trajectory Prediction
- VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
- Tesla's Autopilot: Ethics and Tragedy
All 349
- Optical Lens Attack on Deep Learning Based Monocular Depth Estimation
- data2lang2vec: Data Driven Typological Features Completion
- The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach
- Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data
- Improving satellite imagery segmentation using multiple Sentinel-2 revisits
- Bi-Filtration and Stability of TDA Mapper for Point Cloud Data
- Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace
- Revisiting inverse Hessian vector products for calculating influence functions
- A vision-based framework for human behavior understanding in industrial assembly lines
- Learning Utilities from Demonstrations in Markov Decision Processes
- SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model
- Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors
- Koopman-driven grip force prediction through EMG sensing
- The Technology of Outrage: Bias in Artificial Intelligence
- Non-asymptotic Convergence of Training Transformers for Next-token Prediction
- Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting
- ChatCam: Empowering Camera Control through Conversational AI
- The poison of dimensionality
- How Transliterations Improve Crosslingual Alignment
- Accelerating Multi-Block Constrained Optimization Through Learning to Optimize
- Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
- KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
- Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
- A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System
- Democratizing Signal Processing and Machine Learning: Math Learning Equity for Elementary and Middle School Students
- Neural Network Plasticity and Loss Sharpness
- Sparsity, Regularization and Causality in Agricultural Yield: The Case of Paddy Rice in Peru
- Schr"odinger bridge based deep conditional generative learning
- Disco4D: Disentangled 4D Human Generation and Animation from a Single Image
- Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
- Targeted Neural Architectures in Multi-Objective Frameworks for Complete Glioma Characterization from Multimodal MRI
- Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
- CodonMPNN for Organism Specific and Codon Optimal Inverse Folding
- No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha
- Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced Creativity
- AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content
- Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems
- Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs
- Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies
- Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
- Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
- First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
- AACLiteNet: A Lightweight Model for Detection of Fine-Grained Abdominal Aortic Calcification
- Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
- An Effective, Robust and Fairness-aware Hate Speech Detection Framework
- Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks
- Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization
- FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
- Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
- PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
- Streaming Neural Images
- Assessing the Level of Toxicity Against Distinct Groups in Bangla Social Media Comments: A Comprehensive Investigation
- Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset
- On-orbit Servicing for Spacecraft Collision Avoidance With Autonomous Decision Making
- Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
- Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
- Small data deep learning methodology for in-field disease detection
- Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
- Characterizing stable regions in the residual stream of LLMs
- MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies
- Unveiling Ontological Commitment in Multi-Modal Foundation Models
- Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks
- Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
- General Detection-based Text Line Recognition
- BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices
- Accumulator-Aware Post-Training Quantization for Large Language Models
- Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
- Locally Regularized Sparse Graph by Fast Proximal Gradient Descent
- SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking
- Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
- Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming
- Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition
- The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
- VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
- Benchmarking Domain Generalization Algorithms in Computational Pathology
- DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
- Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia: A Proof-of-Concept Study
- Predictive Covert Communication Against Multi-UAV Surveillance Using Graph Koopman Autoencoder
- Detecting Temporal Ambiguity in Questions
- GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design
- How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not
- EventHDR: from Event to High-Speed HDR Videos and Beyond
- Counterfactual Token Generation in Large Language Models
- Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom
- Enhanced Wavelet Scattering Network for image inpainting detection
- CombU: A Combined Unit Activation for Fitting Mathematical Expressions with Neural Networks
- PTQ4RIS: Post-Training Quantization for Referring Image Segmentation
- CNN Mixture-of-Depths
- AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions
- AutoLLM-CARD: Towards a Description and Landscape of Large Language Models
- Models Can and Should Embrace the Communicative Nature of Human-Generated Math
- Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation
- WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks
- PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery
- INT-FlashAttention: Enabling Flash Attention for INT8 Quantization
- What is the relation between Slow Feature Analysis and the Successor Representation?
- Single Image, Any Face: Generalisable 3D Face Generation
- Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
- AXCEL: Automated eXplainable Consistency Evaluation using LLMs
- Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
- Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions
- Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization
- Bridge to Real Environment with Hardware-in-the-loop for Wireless Artificial Intelligence Paradigms
- ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
- Stochastic neighborhood embedding and the gradient flow of relative entropy
- Informed deep hierarchical classification: a non-standard analysis inspired approach
- Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition
- NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
- Setting the AI Agenda -- Evidence from Sweden in the ChatGPT Era
- Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
- Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM
- Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis
- Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling
- Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents
- Quantum-Classical Sentiment Analysis
- Game4Loc: A UAV Geo-Localization Benchmark from Game Data
- AI-assisted Gaze Detection for Proctoring Online Exams
- Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry
- Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
- Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models
- Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness
- Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
- Pruning Multilingual Large Language Models for Multilingual Inference
- An Adaptive Screen-Space Meshing Approach for Normal Integration
- Discriminative Anchor Learning for Efficient Multi-view Clustering
- Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
- A Roadmap for Embodied and Social Grounding in LLMs
- Robotic Backchanneling in Online Conversation Facilitation: A Cross-Generational Study
- AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging
- HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space
- Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text Classification
- Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions
- Ethical and Scalable Automation: A Governance and Compliance Framework for Business Applications
- Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
- Multi-objective Evolution of Heuristic Using Large Language Model
- Risk-averse learning with delayed feedback
- Linking in Style: Understanding learned features in deep learning models
- Towards Unified 3D Hair Reconstruction from Single-View Portraits
- Limitations of (Procrustes) Alignment in Assessing Multi-Person Human Pose and Shape Estimation
- The Role of Language Models in Modern Healthcare: A Comprehensive Review
- Revisiting Extragradient-Type Methods -- Part 1: Generalizations and Sublinear Convergence Rates
- A Versatile and Differentiable Hand-Object Interaction Representation
- Dispute resolution in legal mediation with quantitative argumentation
- Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms
- Exposing Assumptions in AI Benchmarks through Cognitive Modelling
- IRASNet: Improved Feature-Level Clutter Reduction for Domain Generalized SAR-ATR
- Optimal starting point for time series forecasting
- Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
- Demo2Vec: Learning Region Embedding with Demographic Information
- Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
- Conditional Testing based on Localized Conformal p-values
- On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks
- Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection
- Learning phase-space flows using time-discrete implicit Runge-Kutta PINNs
- XAI-guided Insulator Anomaly Detection for Imbalanced Datasets
- Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera
- CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow
- Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation
- A parametric framework for kernel-based dynamic mode decomposition using deep learning
- Accelerating TinyML Inference on Microcontrollers through Approximate Kernels
- PeerArg: Argumentative Peer Review with LLMs
- Inline Photometrically Calibrated Hybrid Visual SLAM
- A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices
- A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates
- Topological SLAM in colonoscopies leveraging deep features and topological priors
- Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024
- Scalable Ensemble Diversification for OOD Generalization and Detection
- Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
- Mitigating the Bias of Large Language Model Evaluation
- Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution
- MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation
- Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training
- Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
- Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
- Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning
- MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual Features
- Offline and Distributional Reinforcement Learning for Radio Resource Management
- Statewide Visual Geolocalization in the Wild
- Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
- E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
- A Novel Framework for Analyzing Structural Transformation in Data-Constrained Economies Using Bayesian Modeling and Machine Learning
- Commonly Interesting Images
- GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing
- The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
- Non-stationary BERT: Exploring Augmented IMU Data For Robust Human Activity Recognition
- SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
- Formal Local Implication Between Two Neural Networks
- PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning
- Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning
- Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
- Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
- Pose-Guided Fine-Grained Sign Language Video Generation
- Probing Omissions and Distortions in Transformer-based RDF-to-Text Models
- Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation
- 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
- Numerical Approximation Capacity of Neural Networks with Bounded Parameters: Do Limits Exist, and How Can They Be Measured?
- A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms
- Skyeyes: Ground Roaming using Aerial View Images
- SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
- Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions
- TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
- CryptoTrain: Fast Secure Training on Encrypted Dataset
- SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
- Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts
- GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
- Topic-aware Causal Intervention for Counterfactual Detection
- A Character-Centric Creative Story Generation via Imagination
- TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans
- Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts
- The Credibility Transformer
- Progressive Representation Learning for Real-Time UAV Tracking
- Learning Representation for Multitask learning through Self Supervised Auxiliary learning
- Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data
- Cross-Lingual and Cross-Cultural Variation in Image Descriptions
- Task Addition in Multi-Task Learning by Geometrical Alignment
- Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation
- Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware
- Deep-Learning Recognition of Scanning Transmission Electron Microscopy: Quantifying and Mitigating the Influence of Gaussian Noises
- PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences
- Functional Stochastic Gradient MCMC for Bayesian Neural Networks
- Enhancing Nighttime UAV Tracking with Light Distribution Suppression
- Stochastic Subsampling With Average Pooling
- Ascend HiFloat8 Format for Deep Learning
- On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction
- Entailment-Driven Privacy Policy Classification with LLMs
- DeformStream: Deformation-based Adaptive Volumetric Video Streaming
- ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis
- Random Forest Regression Feature Importance for Climate Impact Pathway Detection
- Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications
- Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"
- FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation
- Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract)
- A Hybrid Quantum Neural Network for Split Learning
- MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
- Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)
- AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
- Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape
- Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
- Disentangling Questions from Query Generation for Task-Adaptive Retrieval
- Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
- Demystifying Issues, Causes and Solutions in LLM Open-Source Projects
- EMIT- Event-Based Masked Auto Encoding for Irregular Time Series
- Monge-Kantorovich Fitting With Sobolev Budgets
- Context-aware and Style-related Incremental Decoding framework for Discourse-Level Literary Translation
- Source-Free Domain Adaptation for YOLO Object Detection
- A QoE-Aware Split Inference Accelerating Algorithm for NOMA-based Edge Intelligence
- Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning for Traffic Prediction
- Understanding the Cognitive Complexity in Language Elicited by Product Images
- SynChart: Synthesizing Charts from Language Models