Papers
Thu 28 Mar 2024
285 papers
- Closed-form congestion control via deep symbolic regressionDeep reinforcement learning methods → RL for energy, networks and operations
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsLLM safety and security → Jailbreaking
- Jamba: A Hybrid Transformer-Mamba Language ModelMixture-of-experts → MoE large language models +1
- Vision-Language Synthetic Data Enhances Echocardiography Downstream TasksSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor TracesLLM reasoning → Spatial and embodied reasoning
- Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Concept-based Analysis of Neural Networks via Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Target Span Detection for Implicit Harmful ContentLLM safety and security → Safety alignment, refusal and guardrails
- X-MIC: Cross-Modal Instance Conditioning for Egocentric Action GeneralizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and BehaviorDeep reinforcement learning methods → Adversarial robustness and RL in finance
- ShapeFusion: A 3D diffusion model for localized shape editingDiffusion models → 3D, point cloud and scene generation
- GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data GenerationKnowledge distillation → Knowledge distillation for LLMs
- MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- RSMamba: Remote Sensing Image Classification with State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Detecting Origin Attribution for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object InteractionDiffusion models → Video generation
- Human-compatible driving partners through data-regularized self-play reinforcement learningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Learn Once, Edit Anywhere: Visual Direction Transfer for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization AgentsLLM agents and tool use → Multimodal and embodied agents
- Enhance Image Classification via Inter-Class Image Mixup with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Frame by Familiar Frame: Understanding Replication in Video Diffusion ModelsDiffusion models → Video generation
- Keypoint Action Tokens Enable In-Context Imitation Learning in RoboticsOffline RL and imitation learning from data → Robot manipulation imitation learning
- WaterJudge: Quality-Detection Trade-off when Watermarking Large Language ModelsLLM safety and security → Watermarking generated content and models
- De-confounded Data-free Knowledge Distillation for Handling Distribution ShiftsKnowledge distillation → General knowledge distillation methods
- On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning AttacksLLM safety and security → Membership inference attacks
- Fairness-Aware Data Augmentation for Cardiac MRI using Text-Conditioned Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Offline Imitation Learning from Multiple Baselines with Applications to Compiler OptimizationOffline RL and imitation learning from data → Imitation learning methods +1
- RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud SegmentationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy GradientsDeep reinforcement learning methods → RL theory and sample complexity
- Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityDiffusion models → Inverse problems and image restoration
- BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue GenerationLLM reasoning → Clinical and biomedical applications +1
- Large Language Models Struggle with Unreasonability in Math ProblemsLLM reasoning → Mathematical reasoning
- Plug-and-Play Grounding of Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fine-Tuning Language Models with Reward Learning on PolicyLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- sDPO: Don't Use Your Data All at OnceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical NeedsLLM agents and tool use → Reinforcement learning for LLM agents
- Imperceptible Protection against Style Imitation from Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Are Large Language Models Good at Utility Judgments?Retrieval-augmented generation → RAG robustness and adaptive retrieval
- Mitigating Misleading Chain-of-Thought Reasoning with Selective FilteringLLM reasoning → Prompting and chain-of-thought reasoning
- RecDiffusion: Rectangling for Image Stitching with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Disentangling Length from Quality in Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head GenerationDiffusion models → Audio, speech and music
- QNCD: Quantization Noise Correction for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- GraphAD: Interaction Scene Graph for End-to-end Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- Learning From Correctness Without Prompting Makes LLM Efficient ReasonerLLM reasoning → Test-time compute and efficient thinking
- NativE: Multi-modal Knowledge Graph Completion in the Wild
- Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition
- Model Of Information System Towards Harmonized Industry And Computer Science
- Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study
- Generating Print-Ready Personalized AI Art Products from Minimal User Inputs
- Joint torques prediction of a robotic arm using neural networks
- ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain
- Automatic Classification of Subjective Time Perception Using Multi-modal Physiological Data of Air Traffic Controllers
- Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications
- FewUser: Few-Shot Social User Geolocation via Contrastive Learning
- Soil respiration signals in response to sustainable soil management practices enhance soil organic carbon stocks
- Machine learning augmented diagnostic testing to identify sources of variability in test performance
- A Review of Multi-Modal Large Language and Vision Models
- Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
- Information Cascade Prediction under Public Emergencies: A Survey
- BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration
- A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations
- A Two-Phase Recall-and-Select Framework for Fast Model Selection
- A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
- Towards Long Term SLAM on Thermal Imagery
- Planning with Uncertainty: Symmetries, Policy Inference, and Solution Compression
- Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
- IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion
- Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences
- Constructing Decision Trees from Data Streams
- Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
- DeNetDM: Debiasing by Network Depth Modulation
- Towards a Brazilian History Knowledge Graph
- A Review of Graph Neural Networks in Epidemic Modeling
- Localizing Paragraph Memorization in Language Models
- Biased Over-the-Air Federated Learning under Wireless Heterogeneity
- Generalized Gradient Descent is a Hypergraph Functor
- Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting
- The New Agronomists: Language Models are Experts in Crop Management
- ChatTracer: Large Language Model Powered Real-time Bluetooth Device Tracking System
- Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
- Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation
- Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
- Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
- The State of Lithium-Ion Battery Health Prognostics in the CPS Era
- Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computer
- Developing Healthcare Language Model Embedding Spaces
- Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
- Efficient 3D Instance Mapping and Localization with Neural Fields
- MAPL: Model Agnostic Peer-to-peer Learning
- Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care
- JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition
- Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition
- AlloyBERT: Alloy Property Prediction with Large Language Models
- ENet-21: An Optimized light CNN Structure for Lane Detection
- Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
All 285
- Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation
- Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
- Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality
- Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
- Quantum Natural Language Processing
- Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs
- Physics-Informed Neural Networks for Satellite State Estimation
- EmoScan: Automatic Screening of Depression Symptoms in Romanized Sinhala Tweets
- New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark
- A Benchmark Evaluation of Clinical Named Entity Recognition in French
- MUGC: Machine Generated versus User Generated Content Detection
- HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
- GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
- MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
- GraspXL: Generating Grasping Motions for Diverse Objects at Scale
- Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
- Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
- Siamese Vision Transformers are Scalable Audio-visual Learners
- Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2
- GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond
- Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
- Metric Learning from Limited Pairwise Preference Comparisons
- Top-k Classification and Cardinality-Aware Prediction
- Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models
- SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing
- ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D
- Nearest Neighbor Classification for Classical Image Upsampling
- SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects
- Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
- Semantic Map-based Generation of Navigation Instructions
- LocCa: Visual Pretraining with Location-aware Captioners
- Situation Awareness for Driver-Centric Driving Style Adaptation
- Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers
- TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes
- DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
- Taming the Interacting Particle Langevin Algorithm: The Superlinear case
- TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering
- Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation
- OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation
- The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation
- Swarm Characteristics Classification Using Neural Networks
- GrINd: Grid Interpolation Network for Scattered Observations
- Self-Improved Learning for Scalable Neural Combinatorial Optimization
- Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset
- Cross-Attention is Not Always Needed: Dynamic Cross-Attention for Audio-Visual Dimensional Emotion Recognition
- GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM
- Croissant: A Metadata Format for ML-Ready Datasets
- Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
- Locate, Assign, Refine: Taming Customized Promptable Image Inpainting
- Detecting Financial Bots on the Ethereum Blockchain
- Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation
- Model Stock: All we need is just a few fine-tuned models
- Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models
- XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold
- Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
- CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
- Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data
- Phonetic Segmentation of the UCLA Phonetics Lab Archive
- SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
- RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
- Tensor Network-Constrained Kernel Machines as Gaussian Processes
- Client-supervised Federated Learning: Towards One-model-for-all Personalization
- Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias
- CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
- Regression with Multi-Expert Deferral
- Segmentation tool for images of cracks
- Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
- H-Consistency Guarantees for Regression
- SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
- Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
- Physics-aware deep learning framework for the limited aperture inverse obstacle scattering problem
- Beyond Talking -- Generating Holistic 3D Human Dyadic Motion for Communication
- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming
- Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization
- JDocQA: Japanese Document Question Answering Dataset for Generative Language Models
- Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays
- Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting
- A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews
- SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
- BAMM: Bidirectional Autoregressive Motion Model
- Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes
- A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
- The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
- Echo-chambers and Idea Labs: Communication Styles on Twitter
- Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
- Fairness in Ranking: Robustness through Randomization without the Protected Attribute
- Constants of Motion for Conserved and Non-conserved Dynamics
- OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
- Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma
- A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
- Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
- Tabular Learning: Encoding for Entity and Context Embeddings
- Hardness of Learning Boolean Functions from Label Proportions
- KazParC: Kazakh Parallel Corpus for Machine Translation
- Checkpoint Merging via Bayesian Optimization in LLM Pretraining
- PointCloud-Text Matching: Benchmark Datasets and a Baseline
- On Uncertainty Quantification for Near-Bayes Optimal Algorithms
- NIGHT -- Non-Line-of-Sight Imaging from Indirect Time of Flight Data
- Infrared Small Target Detection with Scale and Location Sensitivity
- EthioMT: Parallel Corpus for Low-resource Ethiopian Languages
- Risk prediction of pathological gambling on social media
- Artificial Intelligence (AI) Based Prediction of Mortality, for COVID-19 Patients
- AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4
- A diverse Multilingual News Headlines Dataset from around the World
- Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
- Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
- Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
- An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
- IVLMap: Instance-Aware Visual Language Grounding for Consumer Robot Navigation
- KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes
- Test-Time Domain Generalization for Face Anti-Spoofing
- MedBN: Robust Test-Time Adaptation against Malicious Test Samples
- Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
- TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
- Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization
- Hypergraph-based Multi-View Action Recognition using Event Cameras
- Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction
- Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume
- FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
- Uplift Modeling Under Limited Supervision
- Going Beyond Word Matching: Syntax Improves In-context Example Selection for Machine Translation
- Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
- CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
- Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
- A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
- DeepSample: DNN sampling-based testing for operational accuracy assessment
- Neural Fields for 3D Tracking of Anatomy and Surgical Instruments in Monocular Laparoscopic Video Clips
- Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
- NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data
- J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
- Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
- MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
- Efficient Learning With Sine-Activated Low-rank Matrices
- RTracker: Recoverable Tracking via PN Tree Structured Memory
- Taming Lookup Tables for Efficient Image Retouching
- DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation
- AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
- Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
- Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality
- GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
- Collaborative Knowledge Infusion for Low-resource Stance Detection
- Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting
- Dual-Personalizing Adapter for Federated Foundation Models
- From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
- Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification
- Understanding Archives: Towards New Research Interfaces Relying on the Semantic Annotation of Documents
- Text Data-Centric Image Captioning with Interactive Prompts
- Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation
- Make Large Language Model a Better Ranker
- Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
- Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets
- Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration
- Evaluating Fair Feature Selection in Machine Learning for Healthcare
- D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations
- Improving Vietnamese-English Medical Machine Translation
- Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
- Uncertainty-Aware Deep Video Compression with Ensembles
- STaR-GATE: Teaching Language Models to Ask Clarifying Questions
- Towards Understanding Dual BN In Hybrid Adversarial Training
- Topological Cycle Graph Attention Network for Brain Functional Connectivity
- GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education
- Tiny Graph Neural Networks for Radio Resource Management
- A Tulu Resource for Machine Translation
- Streamlining Redundant Layers to Compress Large Language Models
- OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition
- PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis
- Code Comparison Tuning for Code Large Language Models
- MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering
- Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM
- FACTOID: FACtual enTailment fOr hallucInation Detection
- Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
- Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
- Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
- AAPMT: AGI Assessment Through Prompt and Metric Transformer
- Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
- Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design
- Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
- Enhancing Conformal Prediction Using E-Test Statistics
- MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
- A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement
- MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
- Tiny Machine Learning: Progress and Futures
- Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads
- Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
- Generative Quanta Color Imaging