mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 14 Feb 2024

274 papers

  1. Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image GenerationLLM safety and security → Vision-language and text-to-image safety
  2. Reasoning over Uncertain Text by Generative Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  3. STEER: Assessing the Economic Rationality of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  4. Dataset Clustering for Improved Offline Policy LearningOffline RL and imitation learning from data → Offline RL algorithms
  5. Rethinking Large Language Model Architectures for Sequential RecommendationsLLM reasoning → LLM reasoning for recommendation
  6. PMGDA: A Preference-based Multiple Gradient Descent AlgorithmDeep reinforcement learning methods → RL for games and combinatorial optimization
  7. AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning AbilityLLM reasoning → Reasoning benchmarks and evaluation
  8. Reinforcement Learning from Human Feedback with Active QueriesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  9. Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  10. LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  11. HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality EvaluationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  12. Pseudorandom Error-Correcting CodesLLM safety and security → Watermarking generated content and models
  13. HiRE: High Recall Approximate Top-k Estimation for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  14. Single-Reset Divide & Conquer Imitation LearningOffline RL and imitation learning from data → Imitation learning methods +1
  15. InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  16. ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  17. Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  18. Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training StrategiesKnowledge distillation → Knowledge distillation for LLMs
  19. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  20. Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning ApproachDeep reinforcement learning methods → RL for energy, networks and operations
  21. MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  22. Is My Data in Your AI? Membership Inference Test (MINT) applied to Face BiometricsLLM safety and security → Membership inference attacks
  23. Spectral Filters, Dark Signals, and Attention SinksMechanistic interpretability → Circuits and mechanistic analysis
  24. Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  25. Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  26. (Ir)rationality and Cognitive Biases in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  27. OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLMMultimodal LLMs / vision-language models → Medical vision-language models
  28. Instruction Backdoor Attacks Against Customized LLMsLLM safety and security → Backdoor and data poisoning attacks
  29. Leveraging the Context through Multi-Round Interactions for Jailbreaking AttacksLLM safety and security → Jailbreaking
  30. Attacking Large Language Models with Projected Gradient DescentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  31. Semi-Supervised Diffusion Model for Brain Age PredictionDiffusion models → Medical imaging and segmentation
  32. FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated LearningKnowledge distillation → Federated, robust and private distillation
  33. Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit CluesLLM safety and security → Jailbreaking
  34. Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning TasksDeep reinforcement learning methods → RL theory and sample complexity
  35. Steady-State Error Compensation for Reinforcement Learning with Quadratic RewardsDeep reinforcement learning methods → Interpretable and logic-guided RL
  36. Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding SpaceLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  37. L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional ObjectsLLM reasoning → Spatial and embodied reasoning +2
  38. FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement LearningLLM reasoning → Spatial and embodied reasoning
  39. Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender SystemsLLM safety and security → Membership inference attacks
  40. Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered ApplicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
  41. AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous SystemsLLM agents and tool use → Software engineering coding agents
  42. Towards Robust Model-Based Reinforcement Learning Against Adversarial CorruptionDeep reinforcement learning methods → Adversarial robustness and RL in finance
  43. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingLLM safety and security → Jailbreaking
  44. Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-raysMultimodal LLMs / vision-language models → Medical vision-language models
  45. MUSTARD: Mastering Uniform Synthesis of Theorem and Proof DataLLM reasoning → Mathematical reasoning
  46. Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  47. Premise Order Matters in Reasoning with Large Language ModelsLLM reasoning → Mathematical reasoning
  48. Extreme Video Compression with Pre-trained Diffusion ModelsDiffusion models → Diffusion for compression and wireless
  49. MaxMin-RLHF: Alignment with Diverse Human PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  50. Learning Low-Rank Feature for Thorax Disease Classification
  51. HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections
  52. HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting
  53. Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities
  54. Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children
  55. Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering
  56. Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks
  57. Regional inflation analysis using social network data
  58. A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies
  59. Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies
  60. Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model
  61. Understanding team collapse via probabilistic graphical models
  62. Signed Diverse Multiplex Networks: Clustering and Inference
  63. A Dynamical View of the Question of Why
  64. A Language Model for Particle Tracking
  65. Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution
  66. Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
  67. Loopy-SLAM: Dense Neural SLAM with Loop Closures
  68. Conformalized Adaptive Forecasting of Heterogeneous Trajectories
  69. LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
  70. API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
  71. Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP
  72. Towards Privacy-Aware Sign Language Translation at Scale
  73. LogicPrpBank: A Corpus for Logical Implication and Equivalence
  74. Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
  75. Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
  76. Scalable Graph Self-Supervised Learning
  77. Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
  78. MCMC-driven learning
  79. Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
  80. A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis
  81. Reconstructing the Geometry of Random Geometric Graphs
  82. MLCC: A Congestion Control Technique to Accelerate ML Training
  83. Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
  84. DeepATLAS: One-Shot Localization for Biomedical Data
  85. WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization
  86. Large Language Model-Based Interpretable Machine Learning Control in Building Energy Systems
  87. Combatting deepfakes: Policies to address national security threats and rights violations
  88. Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features
  89. Advancing Building Energy Modeling with Large Language Models: Exploration and Case Studies
  90. Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer
  91. Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study
  92. TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction
  93. Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph
  94. Patch-based adaptive temporal filter and residual evaluation
  95. Distribution-Free Rates in Neyman-Pearson Classification
  96. Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning
  97. Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events
  98. How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?
  99. Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
  100. Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
All 274
  1. Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
  2. The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning
  3. Guided Quantum Compression for High Dimensional Data Classification
  4. Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls
  5. On Formally Undecidable Traits of Intelligent Machines
  6. Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques
  7. Instruction Tuning for Secure Code Generation
  8. On the Potential of Network-Based Features for Fraud Detection
  9. Can AI and humans genuinely communicate?
  10. Intelligent Agricultural Greenhouse Control System Based on Internet of Things and Machine Learning
  11. UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition
  12. Long-form evaluation of model editing
  13. LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
  14. Entropy-regularized Point-based Value Iteration
  15. Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning
  16. Persuasion, Delegation, and Private Information in Algorithm-Assisted Decisions
  17. GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly
  18. Loss Shaping Constraints for Long-Term Time Series Forecasting
  19. Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge
  20. Transformers Can Achieve Length Generalization But Not Robustly
  21. Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking
  22. Magic-Me: Identity-Specific Video Customized Diffusion
  23. Evaluation of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning
  24. Copyright Traps for Large Language Models
  25. Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
  26. Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
  27. DoRA: Weight-Decomposed Low-Rank Adaptation
  28. LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop
  29. Generating Diverse Translation with Perturbed kNN-MT
  30. Registration of Longitudinal Spine CTs for Monitoring Lesion Growth
  31. Neural Networks Asymptotic Behaviours for the Resolution of Inverse Problems
  32. AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
  33. 3D-based RNA function prediction tools in rnaglib
  34. YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
  35. Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
  36. Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
  37. Stability and Multigroup Fairness in Ranking with Uncertain Predictions
  38. PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving Environments
  39. Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio
  40. Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models
  41. Few-Shot Object Detection with Sparse Context Transformers
  42. Embracing the black box: Heading towards foundation models for causal discovery from time series data
  43. Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag
  44. Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
  45. EcoVal: An Efficient Data Valuation Framework for Machine Learning
  46. Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research
  47. Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  48. Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification
  49. Hybrid Machine Learning techniques in the management of harmful algal blooms impact
  50. Fast Window-Based Event Denoising with Spatiotemporal Correlation Enhancement
  51. Personalized Large Language Models
  52. Transformers, parallel computation, and logarithmic depth
  53. Machine Learning in management of precautionary closures caused by lipophilic biotoxins
  54. Computational Complexity of Preferred Subset Repairs on Data-Graphs
  55. UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers
  56. SyntaxShap: Syntax-aware Explainability Method for Text Generation
  57. TDViT: Temporal Dilated Video Transformer for Dense Video Tasks
  58. Universal Machine Learning Kohn-Sham Hamiltonian for Materials
  59. Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions
  60. Momentum Approximation in Asynchronous Private Federated Learning
  61. Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
  62. Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality
  63. Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
  64. Efficient One-stage Video Object Detection by Exploiting Temporal Consistency
  65. Switch EMA: A Free Lunch for Better Flatness and Sharpness
  66. Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
  67. Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
  68. Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
  69. Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
  70. Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms
  71. Context Composing for Full Line Code Completion
  72. Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks
  73. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
  74. DivaTrack: Diverse Bodies and Motions from Acceleration-Enhanced Three-Point Trackers
  75. Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration
  76. Better-than-KL PAC-Bayes Bounds
  77. Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
  78. Implementing local-explainability in Gradient Boosting Trees: Feature Contribution
  79. Traj-LIO: A Resilient Multi-LiDAR Multi-IMU State Estimator Through Sparse Gaussian Process
  80. Generalized Portrait Quality Assessment
  81. Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
  82. Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering
  83. Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures
  84. Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
  85. Less is More: Fewer Interpretable Region via Submodular Subset Selection
  86. Role-Playing Simulation Games using ChatGPT
  87. Crop and Couple: cardiac image segmentation using interlinked specialist networks
  88. Improved Regret for Bandit Convex Optimization with Delayed Feedback
  89. Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
  90. Into the Unknown: Self-Learning Large Language Models
  91. ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
  92. When Representations Align: Universality in Representation Learning Dynamics
  93. Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies
  94. DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
  95. Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides
  96. Exploring the Adversarial Capabilities of Large Language Models
  97. Optimal Automated Market Makers: Differentiable Economics and Strong Duality
  98. MPIrigen: MPI Code Generation through Domain-Specific Language Models
  99. Weighted-Sum of Gaussian Process Latent Variable Models
  100. How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories
  101. Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks
  102. Headset: Human emotion awareness under partial occlusions multimodal dataset
  103. Scheduling for On-Board Federated Learning with Satellite Clusters
  104. DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image Destriping
  105. Towards Realistic Landmark-Guided Facial Video Inpainting Based on GANs
  106. Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
  107. A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle
  108. Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks
  109. Polynomial Semantics of Tractable Probabilistic Circuits
  110. Sobolev Training for Operator Learning
  111. Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
  112. Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
  113. DisGNet: A Distance Graph Neural Network for Forward Kinematics Learning of Gough-Stewart Platform
  114. Affine transformation estimation improves visual self-supervised learning
  115. Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: A Survey
  116. Blind Deep-Learning-Based Image Watermarking Robust Against Geometric Transformations
  117. I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
  118. Distributed Sensing Along Fibres for Smart Clothing
  119. Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
  120. Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection
  121. End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
  122. FGeo-TP: A Language Model-Enhanced Solver for Geometry Problems
  123. Inference of Abstraction for a Unified Account of Reasoning and Learning
  124. Under manipulations, are some AI models harder to audit?
  125. Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing?
  126. Contrast-Enhanced Gating in GRUs for Robust Low-Data Sequence Learning
  127. Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning
  128. SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
  129. Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs
  130. Pyramid Attention Network for Medical Image Registration
  131. Multi-Query Focused Disaster Summarization via Instruction-Based Prompting
  132. STAG: Structural Test-time Alignment of Gradients for Online Adaptation
  133. Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data
  134. Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
  135. CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
  136. Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
  137. Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
  138. MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
  139. Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing
  140. Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks
  141. Research and application of Transformer based anomaly detection model: A literature review
  142. Structured Language Generation Model: Loss Calibration and Formatted Decoding for Robust Structure Prediction and Knowledge Retrieval
  143. GrounDial: Human-norm Grounded Safe Dialog Response Generation
  144. Predicting User Experience on Laptops from Hardware Specifications
  145. DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
  146. HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding
  147. Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision
  148. Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
  149. Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
  150. Measuring Sharpness in Grokking
  151. Evaluating DTW Measures via a Synthesis Framework for Time-Series Data
  152. Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness
  153. Depth-aware Volume Attention for Texture-less Stereo Matching
  154. Second Order Methods for Bandit Optimization and Control
  155. IMUOptimize: A Data-Driven Approach to Optimal IMU Placement for Human Pose Estimation with Transformer Architecture
  156. The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
  157. Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
  158. Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
  159. SimMLP: Training MLPs on Graphs without Supervision
  160. Learning-based Bone Quality Classification Method for Spinal Metastasis
  161. Subgraph Pooling: Tackling Negative Transfer on Graphs
  162. Auto-Encoding Bayesian Inverse Games
  163. UniEnc-CASSNAT: An Encoder-only Non-autoregressive ASR for Speech SSL Models
  164. Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation
  165. Predicting the Emergence of Solar Active Regions Using Machine Learning
  166. Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation
  167. Inference for an Algorithmic Fairness-Accuracy Frontier
  168. DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
  169. Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
  170. Recurrent Alignment with Hard Attention for Hierarchical Text Rating
  171. Position: Topological Deep Learning is the New Frontier for Relational Learning
  172. ScamSpot: Fighting Financial Fraud in Instagram Comments
  173. DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
  174. Large Language Model with Graph Convolution for Recommendation