mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 26 Oct 2023

279 papers

  1. Semantic Generative Augmentations for Few-Shot CountingDiffusion models → Image generation, text-to-image and editing
  2. ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural LanguagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  3. CodeFusion: A Pre-trained Diffusion Model for Code GenerationDiffusion models → Discrete and text diffusion
  4. 6-DoF Stability Field via Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  5. torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLPKnowledge distillation → Multimodal distillation
  6. Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation ModelsEnd-to-end autonomous driving → End-to-end system architecture
  7. Generative Fractional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  8. MimicGen: A Data Generation System for Scalable Robot Learning using Human DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning
  9. Global Structure-Aware Diffusion Process for Low-Light Image EnhancementDiffusion models → Inverse problems and image restoration
  10. DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech TranslationDiffusion models → Audio, speech and music
  11. SD4Match: Learning to Prompt Stable Diffusion Model for Semantic MatchingDiffusion models → Image generation, text-to-image and editing
  12. Model-Based Runtime Monitoring with Interactive Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  13. The Expressive Power of Low-Rank AdaptationDiffusion models → Image generation, text-to-image and editing
  14. CompeteAI: Understanding the Competition Dynamics in Large Language Model-based AgentsLLM agents and tool use → Social simulation and multi-agent debate
  15. Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning ApproachLLM agents and tool use → General LLM agent frameworks and benchmarks
  16. The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instabilityDiffusion models → Diffusion foundations and sampling
  17. Generating by Understanding: Neural Visual Generation with Logical Symbol GroundingsLLM reasoning → Multimodal reasoning
  18. Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic ModelsDiffusion models → Medical imaging and segmentation
  19. AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  20. Proactive Emergency Collision Avoidance for Automated Driving in Highway ScenariosEnd-to-end autonomous driving → Reinforcement learning for driving
  21. Dialogue-based generation of self-driving simulation scenarios using Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
  22. Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph LearningDiffusion models → Flow matching, time series and science
  23. SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationDiffusion models → 3D, point cloud and scene generation
  24. CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed SamplingDiffusion models → Diffusion foundations and sampling
  25. ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-ThoughtLLM reasoning → Knowledge- and tool-augmented reasoning
  26. CQM: Curriculum Reinforcement Learning with a Quantized World ModelWorld models → Latent dynamics models and model-based RL
  27. Demonstration-Regularized RLLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  28. Attribute Based Interpretable Evaluation Metrics for Generative ModelsDiffusion models → Image generation, text-to-image and editing
  29. CROP: Conservative Reward for Model-based Offline Policy OptimizationOffline RL and imitation learning from data → Offline RL algorithms
  30. Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  31. Exploring Iterative Refinement with Diffusion Models for Video GroundingDiffusion models → Video generation
  32. Understanding the Effects of Projectors in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  33. Relational Object-Centric Actor-CriticWorld models → Latent predictive world models
  34. Bridging The Gaps Between Token Pruning and Full Pre-training via Masked Fine-tuningEfficient LLM inference and serving → Token pruning and merging for ViTs
  35. Improving Denoising Diffusion Models via Simultaneous Estimation of Image and NoiseDiffusion models → Diffusion foundations and sampling
  36. Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationDiffusion models → Diffusion foundations and sampling
  37. Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  38. Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear RegressionOffline RL and imitation learning from data → Robot learning from demonstration
  39. Real-Time Neural Materials using Block-Compressed Features
  40. OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
  41. Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks
  42. Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset
  43. In-Context Ability Transfer for Question Decomposition in Complex QA
  44. New Boolean satisfiability problem heuristic strategy: Minimal Positive Negative Product Strategy
  45. MIM-GAN-based Anomaly Detection for Multivariate Time Series Data
  46. Sparse Bayesian Multidimensional Item Response Theory
  47. A Spectral Condition for Feature Learning
  48. Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
  49. Clover: Closed-Loop Verifiable Code Generation
  50. Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks
  51. TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles
  52. Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment
  53. Interacting Diffusion Processes for Event Sequence Forecasting
  54. ControlLLM: Augment Language Models with Tools by Searching on Graphs
  55. "You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation
  56. Neural Stress Fields for Reduced-order Elastoplasticity and Fracture
  57. Utilizing Language Models for Energy Load Forecasting
  58. Evaluation of large language models using an Indian language LGBTI+ lexicon
  59. Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates
  60. Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
  61. AutoCT: Automated CT registration, segmentation, and quantification
  62. Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?
  63. Graph Convolutional Networks for Complex Traffic Scenario Classification
  64. Learning Optimal Classification Trees Robust to Distribution Shifts
  65. GROOViST: A Metric for Grounding Objects in Visual Storytelling
  66. Social Contract AI: Aligning AI Assistants with Implicit Group Norms
  67. A Dataset of Relighted 3D Interacting Hands
  68. SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation
  69. Distributed Personalized Empirical Risk Minimization
  70. Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
  71. Alzheimers Disease Diagnosis by Deep Learning Using MRI-Based Approaches
  72. PockEngine: Sparse and Efficient Fine-tuning in a Pocket
  73. A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications
  74. Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
  75. OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User
  76. StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation
  77. BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles
  78. Investigating Multilingual Coreference Resolution by Universal Annotations
  79. GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
  80. Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks
  81. ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers
  82. Large Language Models as Generalizable Policies for Embodied Tasks
  83. From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
  84. Advancing Brain Tumor Detection: A Thorough Investigation of CNNs, Clustering, and SoftMax Classification in the Analysis of MRI Images
  85. Unifying (Quantum) Statistical and Parametrized (Quantum) Algorithms
  86. Outlier Dimensions Encode Task-Specific Knowledge
  87. Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents
  88. Community Detection Guarantees Using Embeddings Learned by Node2Vec
  89. Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term
  90. A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
  91. The impact of responding to patient messages with large language model assistance
  92. Non-contrastive sentence representations via self-supervision
  93. Managing extreme AI risks amid rapid progress
  94. Consistent End-to-End Estimation for Counterfactual Fairness
  95. Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks
  96. Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning
  97. Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees
  98. Spatio-Temporal Meta Contrastive Learning
  99. Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
  100. High-Dimensional Prediction for Sequential Decision Making
All 279
  1. A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
  2. Learning the dynamics of a one-dimensional plasma model with graph neural networks
  3. PubDef: Defending Against Transfer Attacks From Public Models
  4. Where you go is who you are -- A study on machine learning based semantic privacy attacks
  5. In-Context Learning Dynamics with Random Binary Sequences
  6. Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
  7. DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting
  8. JudgeLM: Fine-tuned Large Language Models are Scalable Judges
  9. InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators
  10. Approximate Leave-one-out Cross Validation for Regression with ℓ1 Regularizers (extended version)
  11. A Survey on Transferability of Adversarial Examples across Deep Neural Networks
  12. Proving Test Set Contamination in Black Box Language Models
  13. Combating Representation Learning Disparity with Geometric Harmonization
  14. Uncovering Meanings of Embeddings via Partial Orthogonality
  15. A qualitative difference between gradient flows of convex functions in finite- and infinite-dimensional Hilbert spaces
  16. LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset
  17. Using State-of-the-Art Speech Models to Evaluate Oral Reading Fluency in Ghana
  18. SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
  19. Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways
  20. Noise-Free Score Distillation
  21. An Open Source Data Contamination Report for Large Language Models
  22. PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent
  23. Global Voices, Local Biases: Socio-Cultural Prejudices across Languages
  24. A minimax optimal control approach for robust neural ODEs
  25. Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
  26. BLIS-Net: Classifying and Analyzing Signals on Graphs
  27. 1D-Touch: NLP-Assisted Coarse Text Selection via a Semi-Direct Gesture
  28. Inside the black box: Neural network-based real-time prediction of US recessions
  29. Navigating to Success in Multi-Modal Human-Robot Collaboration: Analysis and Corpus Release
  30. Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models
  31. Bifurcations and loss jumps in RNN training
  32. Instability of computer vision models is a necessary result of the task itself
  33. Towards Matching Phones and Speech Representations
  34. Efficient Numerical Algorithm for Large-Scale Damped Natural Gradient Descent
  35. Interactive Robot Learning from Verbal Correction
  36. Unpacking the Ethical Value Alignment in Big Models
  37. Human-Guided Complexity-Controlled Abstractions
  38. Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting
  39. EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
  40. Little Exploration is All You Need
  41. Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
  42. SoK: Pitfalls in Evaluating Black-Box Attacks
  43. Learning Regularized Graphon Mean-Field Games with Unknown Graphons
  44. Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
  45. Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
  46. Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
  47. FLARE: Fast Learning of Animatable and Relightable Mesh Avatars
  48. The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks
  49. Three Pillars improving Vision Foundation Model Distillation for Lidar
  50. Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions
  51. The IMS Toucan System for the Blizzard Challenge 2023
  52. CBD: A Certified Backdoor Detector Based on Local Dominant Probability
  53. Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach
  54. A Hybrid Graph Network for Complex Activity Detection in Video
  55. FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing
  56. Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering
  57. Bias in Evaluation Processes: An Optimization-Based Model
  58. LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation
  59. Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
  60. Secure short-term load forecasting for smart grids with transformer-based federated learning
  61. Toward 6G Native-AI Network: Foundation Model based Cloud-Edge-End Collaboration Framework
  62. Cross-modal Active Complementary Learning with Self-refining Correspondence
  63. Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
  64. Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motion
  65. Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing
  66. OTMatch: Improving Semi-Supervised Learning with Optimal Transport
  67. Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge
  68. Sign Languague Recognition without frame-sequencing constraints: A proof of concept on the Argentinian Sign Language
  69. Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
  70. LSA64: An Argentinian Sign Language Dataset
  71. ''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT Generated English Text
  72. Handshape recognition for Argentinian Sign Language using ProbSom
  73. Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition
  74. Circuit as Set of Points
  75. Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs
  76. PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
  77. Harnessing GPT-3.5-turbo for Rhetorical Role Prediction in Legal Cases
  78. Synthesizing Efficiently Monitorable Formulas in Metric Temporal Logic
  79. Tackling the Matrix Multiplication Micro-kernel Generation with Exo
  80. Meaning and understanding in large language models
  81. Causal Modeling with Stationary Diffusions
  82. Invariance Measures for Neural Networks
  83. Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow
  84. Learning Temporal Sentence Grounding From Narrated EgoVideos
  85. PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
  86. ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
  87. A Challenge in Reweighting Data with Bilevel Optimization
  88. Multitask Online Learning: Listen to the Neighborhood Buzz
  89. On the recognition of the game type based on physiological signals and eye tracking
  90. YOLO-BEV: Generating Bird's-Eye View in the Same Way as 2D Object Detection
  91. Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle
  92. Exploring the Potential of Generative AI for the World Wide Web
  93. Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers
  94. Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning
  95. Exploring the Trie of Rules: a fast data structure for the representation of association rules
  96. Cultural Adaptation of Recipes
  97. De-novo Chemical Reaction Generation by Means of Temporal Convolutional Neural Networks
  98. A multi-artifact EEG denoising by frequency-based deep learning
  99. Arabic Fine-Grained Entity Recognition
  100. On Forecast Stability
  101. C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
  102. IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
  103. Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics
  104. Nabra: Syrian Arabic Dialects with Morphological Annotations
  105. An Ensemble Method Based on the Combination of Transformers with Convolutional Neural Networks to Detect Artificially Generated Text
  106. FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
  107. Comparing Photorealistic and Animated Embodied Conversational Agents in Serious Games: An Empirical Study on User Experience
  108. Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
  109. RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
  110. Learning to Abstract with Nonparametric Variational Information Bottleneck
  111. BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
  112. Automatic Logical Forms improve fidelity in Table-to-Text generation
  113. Looping in the Human Collaborative and Explainable Bayesian Optimization
  114. Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?
  115. Variance of ML-based software fault predictors: are we really improving fault prediction?
  116. fairret: a Framework for Differentiable Fairness Regularization Terms
  117. Generalizing to Unseen Domains in Diabetic Retinopathy Classification
  118. Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification
  119. Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity
  120. Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
  121. EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
  122. Codebook Features: Sparse and Discrete Interpretability for Neural Networks
  123. TSTR: Target Similarity Tuning Meets the Real World
  124. Beyond MLE: Convex Learning for Text Generation
  125. Three-dimensional Bone Image Synthesis with Generative Adversarial Networks
  126. Affective Video Content Analysis: Decade Review and New Perspectives
  127. Weakly-Supervised Surgical Phase Recognition
  128. Efficient Data Fusion using the Tsetlin Machine
  129. miditok: A Python package for MIDI file tokenization
  130. Taming Gradient Variance in Federated Learning with Networked Control Variates
  131. How do Language Models Bind Entities in Context?
  132. Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
  133. Blind Image Super-resolution with Rich Texture-Aware Codebooks
  134. Adaptive importance sampling for Deep Ritz
  135. A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays
  136. DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic
  137. DecoderTracker: Decoder-Only Method for Multiple-Object Tracking
  138. Learning an Inventory Control Policy with General Inventory Arrival Dynamics
  139. X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity
  140. Bridging Phylogeny and Taxonomy with Protein-protein Interaction Networks
  141. Low-Dimensional Gradient Helps Out-of-Distribution Detection
  142. Content-based Controls For Music Large Language Modeling
  143. MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
  144. CosmosDSR -- a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter
  145. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
  146. Learning depth from monocular video sequences
  147. Deep Imbalanced Regression via Hierarchical Classification Adjustment
  148. Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls
  149. Explainable Spatio-Temporal Graph Neural Networks
  150. Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessment
  151. Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
  152. Techniques for supercharging academic writing with generative AI
  153. Symbolic Planning and Code Generation for Grounded Dialogue
  154. A Classifier Using Global Character Level and Local Sub-unit Level Features for Hindi Online Handwritten Character Recognition
  155. Large-Scale Gaussian Processes via Alternating Projection
  156. Core Challenge 2023: Solver and Graph Descriptions
  157. Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation
  158. Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs
  159. Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
  160. Virtual Accessory Try-On via Keypoint Hallucination
  161. M2C: Towards Automatic Multimodal Manga Complement
  162. Task-driven Prompt Evolution for Foundation Models
  163. Deep Learning on SAR Imagery: Transfer Learning Versus Randomly Initialized Weights
  164. Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions
  165. Test-time Augmentation for Factual Probing
  166. Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models
  167. FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge
  168. On the Convergence of CART under Sufficient Impurity Decrease Condition
  169. LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
  170. LP-OVOD: Open-Vocabulary Object Detection by Linear Probing
  171. Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance
  172. Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection
  173. Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approach
  174. Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
  175. Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images
  176. HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait
  177. HyperFields: Towards Zero-Shot Generation of NeRFs from Text
  178. Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates
  179. MMP++: Motion Manifold Primitives with Parametric Curve Models