Papers
Tue 2 Apr 2024
321 papers
- CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative TransportDeep reinforcement learning methods → RL for games and combinatorial optimization
- Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-BackdoorsMixture-of-experts → Expert routing strategies
- Semantic Augmentation in Images using LanguageDiffusion models → Image generation, text-to-image and editing
- Heat Death of Generative Models in Closed-Loop LearningDiffusion models → Diffusion foundations and sampling
- Learning from Demonstration Framework for Multi-Robot Systems Using Interaction Keypoints and Soft Actor-Critic MethodsOffline RL and imitation learning from data → Robot learning from demonstration +1
- Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt OptimizationRetrieval-augmented generation → RAG for code
- Collapse of Self-trained Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIPMechanistic interpretability → Interpreting vision and multimodal models
- APEX: Ambidextrous Dual-Arm Robotic Manipulation Using Collision-Free Generative Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- textttLM^texttt2: A Simple Society of Language Models Solves Complex ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- RAT: Retrieval-Augmented Transformer for Click-Through Rate PredictionRetrieval-augmented generation → Generation and context integration
- Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models BetterDiffusion models → Diffusion foundations and sampling
- Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and OptimizationLLM agents and tool use → Software engineering coding agents
- Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksLLM safety and security → Jailbreaking
- Diffusion2: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Iterated Learning Improves Compositionality in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Topic-Based Watermarks for Large Language ModelsLLM safety and security → Watermarking generated content and models
- ViTamin: Designing Scalable Vision Models in the Vision-Language EraMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersKnowledge distillation → Distillation for continual learning
- Position: Lifetime tuning is incompatible with continual reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
- Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPsDeep reinforcement learning methods → RL theory and sample complexity
- CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- CameraCtrl: Enabling Camera Control for Text-to-Video GenerationDiffusion models → Video generation
- WcDT: World-centric Diffusion Transformer for Traffic Scene GenerationDiffusion models → Diffusion and flow policies for robotics
- Advancing LLM Reasoning Generalists with Preference TreesLLM reasoning → Reasoning benchmarks and evaluation +1
- Red-Teaming Segment Anything ModelLLM safety and security → Backdoor and data poisoning attacks
- SPMamba: State-space model is all you need in speech separationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Digital Forgetting in Large Language Models: A Survey of Unlearning MethodsLLM safety and security → Machine unlearning
- A Survey on Large Language Model-Based Game AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug DesignDiffusion models → Flow matching, time series and science
- Bi-LORA: A Vision-Language Approach for Synthetic Image DetectionDiffusion models → Image generation, text-to-image and editing
- Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation TasksVision-language-action models → Generalist VLA models and benchmarks
- VLRM: Vision-Language Models act as Reward Models for Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Understanding How CodeLLMs (Mis)Predict Types with Activation SteeringMechanistic interpretability → Activation steering methods
- Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A SurveyLLM reasoning → Reasoning benchmarks and evaluation
- Active Exploration in Bayesian Model-based Reinforcement Learning for Robot ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion ModelDiffusion models → Audio, speech and music
- IndoCulture: Exploring Geographically-Influenced Cultural Commonsense Reasoning Across Eleven Indonesian ProvincesLLM reasoning → Reasoning benchmarks and evaluation
- Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak AttackLLM safety and security → Jailbreaking
- Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning HybridOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled SystemsDeep reinforcement learning methods → Safe and constrained RL
- Class-Incremental Few-Shot Event DetectionKnowledge distillation → Distillation for continual learning
- Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational AutoencoderEnd-to-end autonomous driving → End-to-end system architecture
- Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge DistillationEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- Octopus v2: On-device language model for super agentLLM agents and tool use → Tool learning and function calling
- Asymptotics of Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Self-Improvement Programming for Temporal Knowledge Graph Question AnsweringSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion DistillationDiffusion models → Inverse problems and image restoration
- Hessian-Free Online Certified UnlearningLLM safety and security → Machine unlearning
- Upsample Guidance: Scale Up Diffusion Models without TrainingDiffusion models → Diffusion foundations and sampling
- Samba: Semantic Segmentation of Remotely Sensed Images with State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Task Integration Distillation for Object DetectorsKnowledge distillation → Detection and dense prediction distillation
- Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution RefutationLLM reasoning → Reasoning benchmarks and evaluation
- CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- FashionEngine: Interactive 3D Human Generation and Editing via Multimodal ControlsDiffusion models → 3D, point cloud and scene generation
- Learning to Control Camera Exposure via Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Extremum-Seeking Action Selection for Accelerating Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Language Model Guided Interpretable Video Action ReasoningLLM reasoning → Multimodal reasoning
- TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Diffusion DeepfakeDiffusion models → Image generation, text-to-image and editing
- Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone ImageryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Distributed Autonomous Swarm Formation for Dynamic Network BridgingDeep reinforcement learning methods → RL for robot navigation and UAV control
- FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code CompletionRetrieval-augmented generation → RAG for code
- Octopus: On-device language model for function calling of software APIsLLM agents and tool use → Tool learning and function calling
- mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and ReasoningLLM reasoning → Multimodal reasoning
- A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones
- Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation
- Improving and Evaluating Machine Learning Methods for Forensic Shoeprint Matching
- Visual Deformation Detection Using Soft Material Simulation for Pre-training of Condition Assessment Models
- Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments
- Artificial Intelligence for the Internal Democracy of Political Parties
- Large Language Models as Planning Domain Generators
- Detection of direct path component absence in NLOS UWB channel
- Realtime Person Identification via Gait Analysis
- Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
- A Survey on Patent Analysis: From NLP to Multimodal AI
- Federated Distillation: A Survey
- Enhancing Inference Efficiency of Large Language Models: Investigating Optimization Strategies and Architectural Innovations
- When Abel Kills Cain: What Machine Translation Cannot Capture
- A Tutorial on Gaussian Process Learning-based Model Predictive Control
- READ: Improving Relation Extraction from an ADversarial Perspective
- Using Large Language Models to Understand Telecom Standards
- Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
- EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management
- FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction
- Attribution Regularization for Multimodal Paradigms
- COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods
- GaitSTR: Gait Recognition with Sequential Two-stream Refinement
- Generative AI-Based Effective Malware Detection for Embedded Computing Systems
- Improved model-free bounds for multi-asset options using option-implied information and deep learning
- A Computational Analysis of Lyric Similarity Perception
- Corpus Considerations for Annotator Modeling and Scaling
- Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
- Comparative Study of Domain Driven Terms Extraction Using Large Language Models
All 321
- Toward Informal Language Processing: Knowledge of Slang in Large Language Models
- A Strong Baseline for Molecular Few-Shot Learning
- Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
- SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
- Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs
- Federated Multi-Agent Mapping for Planetary Exploration
- One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation
- Smooth Deep Saliency
- Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression
- Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges
- OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment
- LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages
- Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
- SnAG: Scalable and Accurate Video Grounding
- On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
- Towards Robust 3D Pose Transfer with Adversarial Learning
- Proximal Oracles for Optimization and Sampling
- Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models
- Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
- OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
- CHOSEN: Contrastive Hypothesis Selection for Multi-View Depth Refinement
- Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices
- A Holistic Indicator of Polarization to Measure Online Sexism
- Emergent Abilities in Reduced-Scale Generative Language Models
- Insights from the Use of Previously Unseen Neural Architecture Search Datasets
- A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
- NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
- What is to be gained by ensemble models in analysis of spectroscopic data?
- Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database
- Remote sensing framework for geological mapping via stacked autoencoders and clustering
- Distributed and Rate-Adaptive Feature Compression
- Segment Any 3D Object with Language
- Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
- Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration
- GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
- Robustly estimating heterogeneity in factorial data using Rashomon Partitions
- Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance
- LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
- Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity
- 3D Congealing: 3D-Aware Image Alignment in the Wild
- Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
- GINopic: Topic Modeling with Graph Isomorphism Network
- ImageNot: A contrast with ImageNet preserves model rankings
- Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization
- BRAVEn: Improving Self-Supervised Pre-training for Visual and Auditory Speech Recognition
- Already Moderate Population Sizes Provably Yield Strong Robustness to Noise
- LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task
- Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images
- EGTR: Extracting Graph from Transformer for Scene Graph Generation
- Using Interpretation Methods for Model Enhancement
- Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation
- Long-context LLMs Struggle with Long In-context Learning
- IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
- Generalizable, Fast, and Accurate DeepQSPR with fastprop
- Deconstructing In-Context Learning: Understanding Prompts via Corruption
- BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
- Noise Masking Attacks and Defenses for Pretrained Speech Models
- Learning Transactions Representations for Information Management in Banks: Mastering Local, Global, and External Knowledge
- Causality-based Transfer of Driving Scenarios to Unseen Intersections
- Cross-lingual Text Classification Transfer: The Case of Ukrainian
- SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
- Transformers as Transducers
- MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages
- Large Language Models for Orchestrating Bimanual Robots
- Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces
- Preuve de concept d'un bot vocal dialoguant en wolof
- Africa-Centric Self-Supervised Pre-Training for Multilingual Speech Representation in a Sub-Saharan Context
- Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
- Specularity Factorization for Low-Light Enhancement
- A discussion about violin reduction: geometric analysis of contour lines and channel of minima
- DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning
- Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models
- Kallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal
- Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection
- Predicting the Intention to Interact with a Service Robot:the Role of Gaze Cues
- Fashion Style Editing with Generative Human Prior
- Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials
- Joint-Task Regularization for Partially Labeled Multi-Task Learning
- DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation
- Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks
- CAM-Based Methods Can See through Walls
- Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4
- MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels
- HyperCLOVA X Technical Report
- Classifying Graphemes in English Words Through the Application of a Fuzzy Inference System
- Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation
- Quantifying Noise of Dynamic Vision Sensor
- Synthetic Data for Robust Stroke Segmentation
- Event-assisted Low-Light Video Object Segmentation
- Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
- LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
- Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation
- Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
- PREGO: online mistake detection in PRocedural EGOcentric videos
- Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies
- Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method
- Improving Bird's Eye View Semantic Segmentation by Task Decomposition
- Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications
- SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
- A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
- SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities
- Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
- Continuous Spiking Graph Neural Networks
- Minimize Quantization Output Error with Bias Compensation
- ASTRA: An Action Spotting TRAnsformer for Soccer Videos
- RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
- 3D scene generation from scene graphs and self-attention
- Adversarial Combinatorial Bandits with Switching Costs
- Scene Adaptive Sparse Transformer for Event-based Object Detection
- Real, fake and synthetic faces -- does the coin have three sides?
- Procedural Fairness in Machine Learning
- Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
- Fast and Adaptive Questionnaires for Voting Advice Applications
- Supervised Autoencoder MLP for Financial Time Series Forecasting
- Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less
- Detecting Gender Bias in Course Evaluations
- Poro 34B and the Blessing of Multilinguality
- Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
- Pairwise Similarity Distribution Clustering for Noisy Label Learning
- EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking
- Accelerating Transformer Pre-training with 2:4 Sparsity
- Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation
- Semi-Supervised Domain Adaptation for Wildfire Detection
- When does Subagging Work?
- Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy
- Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
- A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
- Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
- Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
- A neural network-based approach to hybrid systems identification for control
- Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions
- GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views
- Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification
- Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
- EventSleep: Sleep Activity Recognition with Event Cameras
- Sentiment Analysis of Citations in Scientific Articles Using ChatGPT: Identifying Potential Biases and Conflicts of Interest
- PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
- Super-Resolution Analysis for Landfill Waste Classification
- Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model
- Can Humans Identify Domains?
- CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
- A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?
- Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach
- Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning
- GEARS: Local Geometry-aware Hand-object Interaction Synthesis
- Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
- M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
- Safe Interval RRT* for Scalable Multi-Robot Path Planning in Continuous Space
- T-VSL: Text-Guided Visual Sound Source Localization in Mixtures
- Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning
- Unleash the Potential of CLIP for Video Highlight Detection
- Atom-Level Optical Chemical Structure Recognition with Limited Supervision
- Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
- Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
- Transfer Learning from Whisper for Microscopic Intelligibility Prediction
- Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge
- Disentangled Pre-training for Human-Object Interaction Detection
- Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation
- Sentence-level Media Bias Analysis with Event Relation Graph
- Effective internal language model training and fusion for factorized transducer model
- EMONA: Event-level Moral Opinions in News Articles
- Conjugate-Gradient-like Based Adaptive Moment Estimation Optimization Algorithm for Deep Learning
- Generative AI for Immersive Communication: The Next Frontier in Internet-of-Senses Through 6G
- Polarity Calibration for Opinion Summarization
- Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior
- On the Role of Summary Content Units in Text Summarization Evaluation
- MotionChain: Conversational Motion Controllers via Multimodal Prompts
- Preventing Model Collapse in Gaussian Process Latent Variable Models
- Selective Temporal Knowledge Graph Reasoning
- HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning
- Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
- RefQSR: Reference-based Quantization for Image Super-Resolution Networks
- JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
- SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems
- Event Detection from Social Media for Epidemic Prediction
- Incentives in Private Collaborative Machine Learning
- PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching
- A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification
- METAL: Towards Multilingual Meta-Evaluation
- Release of Pre-Trained Models for the Japanese Language
- Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies
- AI WALKUP: A Computer-Vision Approach to Quantifying MDS-UPDRS in Parkinson's Disease
- Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
- NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps
- Test-Time Model Adaptation with Only Forward Passes
- EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis
- Transformer meets wcDTW to improve real-time battery bids: A new approach to scenario selection
- ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
- A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
- Patch Synthesis for Property Repair of Deep Neural Networks
- Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning
- Learning Equi-angular Representations for Online Continual Learning
- Entity Disambiguation via Fusion Entity Decoding
- Gen4DS: Workshop on Data Storytelling in an Era of Generative AI
- Voice EHR: Introducing Multimodal Audio Data for Health
- Designing Network Algorithms via Large Language Models
- Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems
- LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network
- Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
- Audio Simulation for Sound Source Localization in Virtual Evironment
- FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
- WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
- Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game
- What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
- PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
- Propensity Score Alignment of Unpaired Multimodal Data
- Classifying Cancer Stage with Open-Source Clinical Large Language Models
- Hallucination Diversity-Aware Active Learning for Text Summarization
- Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection
- GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
- Leveraging Digital Perceptual Technologies for Remote Perception and Analysis of Human Biomechanical Processes: A Contactless Approach for Workload and Joint Force Assessment
- Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
- Evaluating Large Language Models Using Contrast Sets: An Experimental Approach
- A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
- Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness
- Automated User Story Generation with Test Case Specification Using Large Language Model
- Safety-Aware Multi-Agent Learning for Dynamic Network Bridging
- Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
- Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
- Predicting the Performance of Foundation Models via Agreement-on-the-Line
- Laying Anchors: Semantically Priming Numerals in Language Modeling