mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 29 Sep 2023

269 papers

  1. Feedback-guided Data Synthesis for Imbalanced ClassificationSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  2. Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot StudyLLM safety and security → Membership inference attacks
  3. FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static ImageryDiffusion models → 3D, point cloud and scene generation
  4. Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image GenerationDiffusion models → Robustness, privacy and adversarial aspects
  5. Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual RealityLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. Robustness of AI-Image Detectors: Fundamental Limits and Practical AttacksLLM safety and security → Watermarking generated content and models
  7. SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning EvaluationLLM reasoning → Reasoning benchmarks and evaluation
  8. EPiC-ly Fast Particle Cloud Generation with Flow-Matching and DiffusionDiffusion models → Flow matching, time series and science
  9. Text-image Alignment for Diffusion-based PerceptionDiffusion models → Image generation, text-to-image and editing
  10. Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle EvaluationEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  11. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingLLM reasoning → Mathematical reasoning +1
  12. LLM-grounded Video Diffusion ModelsDiffusion models → Video generation
  13. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  14. Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting PromptsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  15. Directly Fine-Tuning Diffusion Models on Differentiable RewardsDiffusion models → Diffusion and flow policies for robotics +1
  16. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample EfficiencyWorld models → World models for language agents +2
  17. Adversarial Imitation Learning from Visual Observations using Latent InformationOffline RL and imitation learning from data → Imitation learning methods
  18. Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule GenerationDiffusion models → Flow matching, time series and science
  19. In search of dispersed memories: Generative diffusion models are associative memory networksDiffusion models → Diffusion foundations and sampling
  20. AutoAgents: A Framework for Automatic Agent GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
  21. Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4LLM agents and tool use → Reinforcement learning for LLM agents
  22. Enhancing Large Language Models in Coding Through Multi-Perspective Self-ConsistencyLLM reasoning → Reasoning for agents, planning and code
  23. Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  24. Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt EngineeringLLM reasoning → Prompting and chain-of-thought reasoning
  25. Alphazero-like Tree-Search can Guide Large Language Model Decoding and TrainingLLM reasoning → Test-time compute and efficient thinking
  26. DyVal: Dynamic Evaluation of Large Language Models for Reasoning TasksLLM reasoning → Reasoning benchmarks and evaluation
  27. Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  28. Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringRetrieval-augmented generation → Multimodal RAG
  29. Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingDiffusion models → Medical imaging and segmentation
  30. Guiding Instruction-based Image Editing via Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
  31. Diffusion Models as Stochastic Quantization in Lattice Field TheoryDiffusion models → Diffusion foundations and sampling
  32. GAIA-1: A Generative World Model for Autonomous DrivingWorld models → World models for autonomous driving +1
  33. AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive ComputationDiffusion models → Diffusion foundations and sampling
  34. ReFlow-TTS: A Rectified Flow Model for High-fidelity Text-to-SpeechDiffusion models → Audio, speech and music
  35. Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Legal and financial RAG
  36. Consistency Models as a Rich and Efficient Policy Class for Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  37. Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and SmoothnessOffline RL and imitation learning from data → Offline RL algorithms
  38. Denoising Diffusion Bridge ModelsDiffusion models → Diffusion foundations and sampling
  39. "I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  40. Clinical Text Deduplication Practices for Efficient Pretraining and Improved Clinical Tasks
  41. Comparative Analysis of Shear Strength Prediction Models for Reinforced Concrete Slab-Column Connections
  42. Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
  43. Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression
  44. AI Algorithm for the Generation of Three-Dimensional Accessibility Ramps in Grasshopper / Rhinoceros 7
  45. Axiomatic Aggregations of Abductive Explanations
  46. Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs
  47. Deep learning soliton dynamics and complex potentials recognition for 1D and 2D PT-symmetric saturable nonlinear Schr"odinger equations
  48. MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
  49. Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile
  50. AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification
  51. Split and Merge: Aligning Position Biases in LLM-based Evaluators
  52. Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection
  53. On the Equivalence of Graph Convolution and Mixup
  54. MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
  55. Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm
  56. A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
  57. Universality of max-margin classifiers
  58. Tight Bounds for Volumetric Spanners and Applications
  59. ADMET property prediction through combinations of molecular fingerprints
  60. Motif: Intrinsic Motivation from Artificial Intelligence Feedback
  61. SCoRe: Submodular Combinatorial Representation Learning
  62. PRIME: Prioritizing Interpretability in Failure Mode Extraction
  63. Region-centric Image-Language Pretraining for Open-Vocabulary Detection
  64. Self-Specialization: Uncovering Latent Expertise within Large Language Models
  65. Learning Generalizable Tool-use Skills through Trajectory Generation
  66. Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
  67. Learning to Rewrite Prompts for Personalized Text Generation
  68. One for All: Towards Training One Graph Model for All Classification Tasks
  69. 3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning
  70. Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks
  71. The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning
  72. GASS: Generalizing Audio Source Separation with Large-scale Data
  73. On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective
  74. Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
  75. QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition
  76. Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
  77. Fewshot learning on global multimodal embeddings for earth observation tasks
  78. ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
  79. Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
  80. Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
  81. HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
  82. Reinforcement Learning for Node Selection in Branch-and-Bound
  83. Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit
  84. FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
  85. Latent Space Symmetry Discovery
  86. Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!
  87. Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
  88. Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping
  89. Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
  90. DataDAM: Efficient Dataset Distillation with Attention Matching
  91. Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym
  92. Emotional Listener Portrait: Neural Listener Head Generation with Emotion
  93. AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
  94. Machine Learning Clifford invariants of ADE Coxeter elements
  95. Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
  96. LoRA ensembles for large language model fine-tuning
  97. PB-LLM: Partially Binarized Large Language Models
  98. Out-Of-Domain Unlabeled Data Improves Generalization
  99. Efficient Streaming Language Models with Attention Sinks
  100. Multi-task View Synthesis with Neural Radiance Fields
All 269
  1. SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
  2. A Large Language Model Approach to Educational Survey Feedback Analysis
  3. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models
  4. Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
  5. DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems
  6. FACTS: First Amplify Correlations and Then Slice to Discover Bias
  7. CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
  8. Classification of Potholes Based on Surface Area Using Pre-Trained Models of Convolutional Neural Network
  9. Data Filtering Networks
  10. Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
  11. Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
  12. Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution
  13. Adversarial Attacks to Latent Representations of Distributed Neural Networks in Split Computing
  14. IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images
  15. AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition
  16. Forward Flow for Novel View Synthesis of Dynamic Scenes
  17. Prompt-based test-time real image dehazing: a novel pipeline
  18. Tree Cross Attention
  19. Parallel Computation of Multi-Slice Clustering of Third-Order Tensors
  20. Graph-based Neural Weather Prediction for Limited Area Modeling
  21. Machine Learning for Practical Quantum Error Mitigation
  22. Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
  23. Module-wise Training of Neural Networks via the Minimizing Movement Scheme
  24. Intrinsic Biologically Plausible Adversarial Robustness
  25. Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator
  26. Towards Free Data Selection with General-Purpose Models
  27. MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search
  28. Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer
  29. Scaling Experiments in Self-Supervised Cross-Table Representation Learning
  30. Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints
  31. Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
  32. Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation
  33. Asynchronous Graph Generator
  34. Multi-Depth Branch Network for Efficient Image Super-Resolution
  35. Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles
  36. Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fields
  37. Telling Stories for Common Sense Zero-Shot Action Recognition
  38. Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis
  39. Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT
  40. Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models
  41. Robust Stochastic Optimization via Gradient Quantile Clipping
  42. Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions
  43. Leave-one-out Distinguishability in Machine Learning
  44. Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
  45. The Blessings of Multiple Treatments and Outcomes in Treatment Effect Estimation
  46. Information Flow in Self-Supervised Learning
  47. STRONG -- Structure Controllable Legal Opinion Summary Generation
  48. Toward Robust Recommendation via Real-time Vicinal Defense
  49. Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind
  50. Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN
  51. Wiki-En-ASR-Adapt: Large-scale synthetic dataset for English ASR Customization
  52. Effect of structure-based training on 3D localization precision and quality
  53. A Foundation Model for General Moving Object Segmentation in Medical Images
  54. Estimation and Inference in Distributional Reinforcement Learning
  55. PlaceNav: Topological Navigation through Place Recognition
  56. A Survey on Deep Learning Techniques for Action Anticipation
  57. Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
  58. Forest Mixing: investigating the impact of multiple search trees and a shared refinements pool on ontology learning
  59. Data-driven localized waves and parameter discovery in the massive Thirring model via extended physics-informed neural networks with interface zones
  60. EGVD: Event-Guided Video Deraining
  61. Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
  62. Spurious Feature Diversification Improves Out-of-distribution Generalization
  63. MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy
  64. Training and inference of large language models using 8-bit floating point
  65. Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study
  66. When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
  67. Sharpness-Aware Teleportation on Riemannian Manifolds
  68. Data-Free Dynamic Compression of CNNs for Tractable Efficiency
  69. Robots That Can See: Leveraging Human Pose for Trajectory Prediction
  70. Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
  71. Towards Complex-query Referring Image Segmentation: A Novel Benchmark
  72. ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
  73. An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features
  74. ResBit: Residual Bit Vector for Categorical Values
  75. Generalized Activation via Multivariate Projection
  76. A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
  77. PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis
  78. RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
  79. TBD Pedestrian Data Collection: Towards Rich, Portable, and Large-Scale Natural Pedestrian Data
  80. RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
  81. AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback
  82. TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
  83. FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation
  84. Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination
  85. Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain
  86. Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning
  87. An evaluation of GPT models for phenotype concept recognition
  88. Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation
  89. Retail-786k: a Large-Scale Dataset for Visual Entity Matching
  90. APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds
  91. Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
  92. Compromise in Multilateral Negotiations and the Global Regulation of Artificial Intelligence
  93. LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud
  94. Age Group Discrimination via Free Handwriting Indicators
  95. Efficient Interpretable Nonlinear Modeling for Multiple Time Series
  96. Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
  97. Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability
  98. Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
  99. GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
  100. HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field
  101. Style Transfer for Non-differentiable Audio Effects
  102. Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?
  103. Sheaf Hypergraph Networks
  104. Meta-Path Learning for Multi-relational Graph Neural Networks
  105. Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
  106. Prototype-guided Cross-modal Completion and Alignment for Incomplete Text-based Person Re-identification
  107. Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation
  108. Dynamic Interpretability for Model Comparison via Decision Rules
  109. Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
  110. Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
  111. From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication
  112. SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning
  113. Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications
  114. SCALE: Synergized Collaboration of Asymmetric Language Translation Engines
  115. GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation
  116. Imagery Dataset for Condition Monitoring of Synthetic Fibre Ropes
  117. Tell Me a Story! Narrative-Driven XAI with Large Language Models
  118. A 5-Point Minimal Solver for Event Camera Relative Motion Estimation
  119. On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
  120. On Uniform Scalar Quantization for Learned Image Compression
  121. On Continuity of Robust and Accurate Classifiers
  122. UniQuadric: A SLAM Backend for Unknown Rigid Object 3D Tracking and Light-Weight Modeling
  123. Contextualising Levels of Language Resourcedness that affect NLP tasks
  124. Unveiling Document Structures with YOLOv5 Layout Detection
  125. Refined Kolmogorov Complexity of Analog, Evolving and Stochastic Recurrent Neural Networks
  126. Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
  127. HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
  128. Efficient Agnostic Learning with Average Smoothness
  129. Benchmarking Cognitive Biases in Large Language Models as Evaluators
  130. Feature Interaction Aware Automated Data Representation Transformation
  131. Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
  132. Medical Foundation Models are Susceptible to Targeted Misinformation Attacks
  133. Statistical physics, Bayesian inference and neural information processing
  134. Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
  135. A Closer Look at Bearing Fault Classification Approaches
  136. Segment Anything Model is a Good Teacher for Local Feature Learning
  137. SpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features
  138. Reliability Quantification of Deep Reinforcement Learning-based Control
  139. Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors
  140. Perceptual Tone Mapping Model for High Dynamic Range Imaging
  141. A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning
  142. Multi-Resolution Active Learning of Fourier Neural Operators
  143. Discrete-Choice Model with Generalized Additive Utility Network
  144. Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data
  145. nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
  146. Controlling Continuous Relaxation for Combinatorial Optimization
  147. AdaPose: Towards Cross-Site Device-Free Human Pose Estimation with Commodity WiFi
  148. On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
  149. COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation
  150. Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training
  151. Leveraging Optimization for Adaptive Attacks on Image Watermarks
  152. Beyond Tides and Time: Machine Learning Triumph in Water Quality
  153. CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving
  154. Physics-Informed Induction Machine Modelling
  155. G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks
  156. Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
  157. SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition
  158. PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label
  159. TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
  160. Symmetry Induces Structure and Constraint of Learning
  161. Learning to Receive Help: Intervention-Aware Concept Embedding Models
  162. Incremental Rotation Averaging Revisited
  163. Mode Connectivity and Data Heterogeneity of Federated Learning
  164. YOLOR-Based Multi-Task Learning
  165. ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks
  166. ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values
  167. ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility
  168. Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning
  169. Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation