Papers
Mon 8 Jul 2024
309 papers
- Generalizing soft actor-critic algorithms to discrete action spacesDeep reinforcement learning methods → RL theory and sample complexity
- A Mamba-based Siamese Network for Remote Sensing Change DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- MUSE: Machine Unlearning Six-Way Evaluation for Language ModelsLLM safety and security → Machine unlearning
- How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching RobotsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- SOLO: A Single Transformer for Scalable Vision-Language ModelingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DebUnc: Improving Large Language Model Agent Communication With Uncertainty MetricsLLM agents and tool use → Social simulation and multi-agent debate
- InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight GenerationLLM agents and tool use → Web, search, and research agents
- System stabilization with policy optimization on unstable latent manifoldsDeep reinforcement learning methods → RL theory and sample complexity
- When in Doubt, Cascade: Towards Building Efficient and Capable GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End NavigationEnd-to-end autonomous driving → Reinforcement learning for driving +1
- VIMI: Grounding Video Generation through Multi-modal InstructionDiffusion models → Video generation
- Multi-Object Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Video-STaR: Self-Training Enables Video Instruction Tuning with Any SupervisionMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Vision-Language Models under Cultural and Inclusive ConsiderationsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DεpS: Delayed ε-Shrinking for Faster Once-For-All TrainingKnowledge distillation → General knowledge distillation methods
- Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental LearningState-space sequence models (S4, Mamba) → Core SSM architectures for language
- ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Structured Generations: Using Hierarchical Clusters to guide Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Periodic agent-state based Q-learning for POMDPsDeep reinforcement learning methods → RL theory and sample complexity
- Enhancing Language Model Rationality with Bi-Directional Deliberation ReasoningLLM reasoning → Reasoning for agents, planning and code
- PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Accelerating Diffusion for SAR-to-Optical Image Translation via Adversarial Consistency DistillationDiffusion models → Inverse problems and image restoration
- 3D Vision and Language Pretraining with Large-Scale Synthetic DataMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Layered Diffusion Model for One-Shot High Resolution Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Variational Best-of-N AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Distilling System 2 into System 1LLM reasoning → Prompting and chain-of-thought reasoning
- Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal GoalsDiffusion models → Diffusion and flow policies for robotics +1
- Self-Prior Guided Mamba-UNet Networks for Medical Image Super-ResolutionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Deform-Mamba Network for MRI Super-ResolutionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the LoopRetrieval-augmented generation → RAG pipeline design and evaluation
- Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language NavigationLLM agents and tool use → Multimodal and embodied agents
- Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine SamplingDiffusion models → 3D, point cloud and scene generation
- 3D Vessel Graph Generation Using Denoising DiffusionDiffusion models → Medical imaging and segmentation
- Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign RecognitionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- When is the consistent prediction likely to be a correct prediction?LLM reasoning → Test-time compute and efficient thinking
- Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text ReportsMultimodal LLMs / vision-language models → Medical vision-language models
- Empirical Study of Symmetrical Reasoning in Conversational ChatbotsLLM reasoning → Reasoning benchmarks and evaluation
- InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-InstructSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV LatentsWorld models → World models for autonomous driving +2
- Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie WorksheetsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GenArtist: Multimodal LLM as an Agent for Unified Image Generation and EditingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image EncoderDiffusion models → Image generation, text-to-image and editing
- LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video ReconstructionDiffusion models → Video generation
- Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems
- Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data
- Thermodynamics-Consistent Graph Neural Networks
- Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation
- Artificial Intelligence Based Navigation in Quasi Structured Environment
- BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models
- AI as a Tool for Fair Journalism: Case Studies from Malta
- Historical Ink: Semantic Shift Detection for 19th Century Spanish
- ISPO: An Integrated Ontology of Symptom Phenotypes for Semantic Integration of Traditional Chinese Medical Data
- Limits to Predicting Online Speech Using Large Language Models
- Improving AlphaFlow for Efficient Protein Ensembles Generation
- Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
- Learning by the F-adjoint
- Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
- An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks
- A Survey on LoRA of Large Language Models
- The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
- Vulnerability Detection in Smart Contracts: A Comprehensive Survey
- A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain
- Training-free CryoET Tomogram Segmentation
- Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
- Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
- Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing
- An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models
- Exploring the Capability of ChatGPT to Reproduce Human Labels for Social Computing Tasks (Extended Version)
- Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
- If You Don't Understand It, Don't Use It: Eliminating Trojans with Filters Between Layers
- AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
- Knowledge Management in the Companion Cognitive Architecture
- Interactively Diagnosing Errors in a Semantic Parser
- RRM: Relightable assets using Radiance guided Material extraction
- JANET: Joint Adaptive predictioN-region Estimation for Time-series
- Data, Data Everywhere: A Guide for Pretraining Dataset Construction
- Non-Robust Features are Not Always Useful in One-Class Classification
- Leveraging image captions for selective whole slide image annotation
- MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
- High-Throughput Phenotyping using Computer Vision and Machine Learning
- Large Language Model Recall Uncertainty is Modulated by the Fan Effect
- High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
- Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification
- Noise-Free Explanation for Driving Action Prediction
- GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images
- Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
- A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network
- LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages
- Solving Multi-Model MDPs by Coordinate Ascent and Dynamic Programming
- Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024
- CONGO: Compressive Online Gradient Optimization
- B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
- MagMax: Leveraging Model Merging for Seamless Continual Learning
- Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards
- Shedding More Light on Robust Classifiers under the lens of Energy-based Models
All 309
- Personality Analysis for Social Media Users using Arabic language and its Effect on Sentiment Analysis
- Adversarial dynamical systems characterize when data-driven learning succeeds or fails
- Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation
- Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps
- SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers
- Unsupervised Fault Detection using SAM with a Moving Window Approach
- Multi-Label Plant Species Classification with Self-Supervised Vision Transformers
- SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration
- Engineering morphogenesis of cell clusters with differentiable programming
- Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking
- Characterization of topological structures in different neural network architectures
- FairDiff: Fair Segmentation with Point-Image Diffusion
- CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
- Context Propagation from Proposals for Semantic Video Object Segmentation
- ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks
- Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Images
- 4D Contrastive Superflows are Dense 3D Representation Learners
- CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation
- Stepping on the Edge: Curvature Aware Learning Rate Tuners
- Transfer Learning with Self-Supervised Vision Transformers for Snake Identification
- The Tug-of-War Between Deepfake Generation and Detection
- On Speeding Up Language Model Evaluation
- Potential Based Diffusion Motion Planning
- TARGO: Benchmarking Target-driven Object Grasping under Occlusions
- What's Wrong with Your Code Generated by Large Language Models? An Extensive Study
- Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design
- PanDORA: Casual HDR Radiance Acquisition of Indoor Scenes for Image-based Lighting
- Using Grammar Masking to Ensure Syntactic Validity in LLM-based Modeling Tasks
- Evaluating the Semantic Profiling Abilities of LLMs for Natural Language Utterances in Data Visualization
- Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities
- Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
- C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition
- FGA: Fourier-Guided Attention Network for Crowd Count Estimation
- Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging
- Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
- Epistemological Bias As a Means for the Automated Detection of Injustices in Text
- Muzzle-Based Cattle Identification System Using Artificial Intelligence (AI)
- Artificial Intuition: Efficient Classification of Scientific Abstracts
- Assessing Cardiomegaly in Dogs Using a Simple CNN Model
- Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
- Qualitative Event Perception: Leveraging Spatiotemporal Episodic Memory for Learning Combat in a Strategy Game
- Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
- Understanding Visual Feature Reliance through the Lens of Complexity
- From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
- Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation
- MERGE -- A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition
- LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps
- Learning local equivariant representations for quantum operators
- Vision-Braille: A Curriculum Learning Toolkit and Braille-Chinese Corpus for Braille Translation
- OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
- Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts
- MST5 -- Multilingual Question Answering over Knowledge Graphs
- PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
- iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
- Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
- RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation
- Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
- Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian
- Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and Analysis
- Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
- Surprising gender biases in GPT
- Pseudo-triplet Guided Few-shot Composed Image Retrieval
- Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified
- Multi-Texture Synthesis through Signal Responsive Neural Cellular Automata
- KidSat: satellite imagery to map childhood poverty dataset and benchmark
- Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems
- MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
- MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition
- Exploring Human-LLM Conversations: Mental Models and the Originator of Toxicity
- Change-Point Detection in Industrial Data Streams based on Online Dynamic Mode Decomposition with Control
- LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
- Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
- STMR: Spiral Transformer for Hand Mesh Reconstruction
- On Bellman equations for continuous-time policy evaluation I: discretization and approximation
- T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models
- 6GSoft: Software for Edge-to-Cloud Continuum
- Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
- Graph-Boosted Attentive Network for Semantic Body Parsing
- TAPVid-3D: A Benchmark for Tracking Any Point in 3D
- LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
- Fostering Trust and Quantifying Value of AI and ML
- Non-parametric Contextual Relationship Learning for Semantic Video Object Segmentation
- Submodular video object proposal selection for semantic object segmentation
- Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding
- Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection
- Contrastive Learning of Preferences with a Contextual InfoNCE Loss
- Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
- Link Representation Learning for Probabilistic Travel Time Estimation
- An efficient method to automate tooth identification and 3D bounding box extraction from Cone Beam CT Images
- Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
- One system for learning and remembering episodes and rules
- Learning With Generalised Card Representations for "Magic: The Gathering"
- HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
- Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
- Scaling Exponents Across Parameterizations and Optimizers
- PORCA: Root Cause Analysis with Partially Observed Data
- KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
- Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess
- Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
- Fast On-device LLM Inference with NPUs
- Wavelet Convolutions for Large Receptive Fields
- Anatomy-guided Pathology Segmentation
- Evaluating the Fairness of Neural Collapse in Medical Image Classification
- An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models
- A Machine Learning Approach to Detecting Albedo Anomalies on the Lunar Surface
- Cyber Physical Games
- Graph Reasoning Networks
- MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles
- Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT
- FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
- Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
- HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels
- A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints
- Kinetic Interacting Particle Langevin Monte Carlo
- CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC
- Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization
- Large Language Models for Judicial Entity Extraction: A Comparative Study
- Sequential Contrastive Audio-Visual Learning
- Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
- Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction
- Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework
- Nonrigid Reconstruction of Freehand Ultrasound without a Tracker
- Multi-agent Reinforcement Learning-based Network Intrusion Detection System
- Invariance Principle Meets Vicinal Risk Minimization
- Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
- Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations
- Large Language Models Understand Layout
- LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring
- MSP-Podcast SER Challenge 2024: L'antenne du Ventoux Multimodal Self-Supervised Learning for Speech Emotion Recognition
- Do Multilingual Large Language Models Mitigate Stereotype Bias?
- Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks
- TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery
- An Earth Rover dataset recorded at the ICRA@40 party
- Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition
- FairPFN: Transformers Can do Counterfactual Fairness
- Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis
- PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation
- A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation
- Implementing a hybrid approach in a knowledge engineering process to manage technical advice relating to feedback from the operation of complex sensitive equipment
- Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge
- MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
- Heterogeneous window transformer for image denoising
- Fast and Continual Knowledge Graph Embedding via Incremental LoRA
- Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
- HilbertMamba: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
- On the Limitations of Compute Thresholds as a Governance Strategy
- Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation
- Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
- Ten Years of Teaching Empirical Software Engineering in the context of Energy-efficient Software
- Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition
- Learning Lane Graphs from Aerial Imagery Using Transformers
- Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
- RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
- Retrieved In-Context Principles from Previous Mistakes
- Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
- MSTF: Multiscale Transformer for Incomplete Trajectory Prediction
- Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
- Enhancing Neural Radiance Fields with Depth and Normal Completion Priors from Sparse Views
- How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
- Random Features Hopfield Networks generalize retrieval to previously unseen examples
- DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
- Multi-label Learning with Random Circular Vectors
- The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns
- Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
- Learning to Adapt Category Consistent Meta-Feature of CLIP for Few-Shot Classification
- OneDiff: A Generalist Model for Image Difference Captioning
- Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
- HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
- AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
- New Directions in Text Classification Research: Maximizing The Performance of Sentiment Classification from Limited Data
- New User Event Prediction Through the Lens of Causal Inference
- Momentum Auxiliary Network for Supervised Local Learning
- On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
- Explainable Image Recognition via Enhanced Slot-attention Based Classifier
- OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
- GenFollower: Enhancing Car-Following Prediction with Large Language Models
- Described Spatial-Temporal Video Detection
- Open-world Multi-label Text Classification with Extremely Weak Supervision
- A Benchmark for Multi-speaker Anonymization
- Weakly Supervised Test-Time Domain Adaptation for Object Detection
- WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering
- Generative Debunking of Climate Misinformation
- GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
- SLIM: Spuriousness Mitigation with Minimal Human Annotations
- Unmasking Trees for Tabular Data
- Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging
- On the Power of Convolution Augmented Transformer
- Dynamic Neural Radiance Field From Defocused Monocular Video
- mathrmE2CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model
- FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance
- Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN
- CaRe-Ego: Contact-aware Relationship Modeling for Egocentric Interactive Hand-object Segmentation
- Towards Reflected Object Detection: A Benchmark
- Spatio-Temporal Encoding and Decoding-Based Method for Future Human Activity Skeleton Synthesis
- GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks
- A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack Constraints
- LLMBox: A Comprehensive Library for Large Language Models
- Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition
- PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization
- A Color Image Analysis Tool to Help Users Choose a Makeup Foundation Color
- Read, Watch and Scream! Sound Generation from Text and Video
- MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
- AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling
- GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation
- On the Equivalence between Logic Programming and SETAF
- This&That: Language-Gesture Controlled Video Generation for Robot Planning
- An accurate detection is not all you need to combat label noise in web-noisy datasets
- Rethinking Image Skip Connections in StyleGAN2
- Can Machines Learn the True Probabilities?