mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 2 Feb 2024

328 papers

  1. Bringing Generative AI to Adaptive Learning in EducationDiffusion models → Diffusion foundations and sampling
  2. Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate ReconstructionDiffusion models → Flow matching, time series and science
  3. Cooperative Knowledge Distillation: A Learner Agnostic ApproachKnowledge distillation → General knowledge distillation methods
  4. Rethinking the Role of Proxy Rewards in Language Model AlignmentLLM reasoning → Reinforcement learning for reasoning +1
  5. Preference Poisoning Attacks on Reward Model LearningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  6. The Role of Foundation Models in Neuro-Symbolic Learning and ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  7. Inverse Reinforcement Learning by Estimating Expertise of DemonstratorsOffline RL and imitation learning from data → Inverse reinforcement learning +1
  8. Large Language Model Agent for Hyper-Parameter OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
  9. LiPO: Listwise Preference Optimization through Learning-to-RankLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  10. Mobile Fitting Room: On-device Virtual Try-on via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  11. InferCept: Efficient Intercept Support for Augmented Large Language Model InferenceEfficient LLM inference and serving → Serving systems and request scheduling
  12. Explaining latent representations of generative models with large multimodal modelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  13. Retrieval Augmented End-to-End Spoken Dialog ModelsRetrieval-augmented generation → Conversational and speech RAG
  14. Building Guardrails for Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  15. LLMs Can't Plan, But Can Help Planning in LLM-Modulo FrameworksLLM reasoning → Reasoning for agents, planning and code
  16. Distilling LLMs' Decomposition Abilities into Compact Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
  17. Can LLMs perform structured graph reasoning?LLM reasoning → Knowledge- and tool-augmented reasoning
  18. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  19. MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  20. Foundation Model Sherpas: Guiding Foundation Models through Knowledge and ReasoningLLM reasoning → Reasoning for agents, planning and code
  21. BAT: Learning to Reason about Spatial Sounds with Large Language ModelsLLM reasoning → Audio-language model reasoning
  22. TrustAgent: Towards Safe and Trustworthy LLM-based AgentsLLM agents and tool use → Agent threats, guardrails and governance
  23. Training Adversarial yet Safe Agent to Characterize Safety Performance of Highly Automated VehiclesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  24. Decoding Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  25. K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic ReasoningLLM reasoning → Reasoning for agents, planning and code
  26. Cross-view Masked Diffusion Transformers for Person Image SynthesisDiffusion models → Diffusion foundations and sampling
  27. Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving SafetyEnd-to-end autonomous driving → End-to-end system architecture
  28. AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process FeedbackLLM agents and tool use → General LLM agent frameworks and benchmarks
  29. Brain-Like Replay Naturally Emerges in Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  30. A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  31. FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  32. Conditioning non-linear and infinite-dimensional diffusion processesDiffusion models → Diffusion foundations and sampling
  33. Bass Accompaniment Generation via Latent DiffusionDiffusion models → Audio, speech and music
  34. CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent TechnologyLLM agents and tool use → Software engineering coding agents
  35. An Information Theoretic Approach to Machine UnlearningLLM safety and security → Machine unlearning
  36. StepCoder: Improve Code Generation with Reinforcement Learning from Compiler FeedbackLLM reasoning → Reasoning for agents, planning and code
  37. Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data AnalysisLLM agents and tool use → Web, search, and research agents
  38. On the Multi-modal Vulnerability of Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  39. To the Max: Reinventing Reward in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  40. pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated LearningMixture-of-experts → Federated mixture-of-experts
  41. Skip n: A Simple Method to Reduce Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  42. KTO: Model Alignment as Prospect Theoretic OptimizationLLM reasoning → Reinforcement learning for reasoning +1
  43. Can MLLMs Perform Text-to-Image In-Context Learning?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  44. Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object DetectionKnowledge distillation → Distillation for spiking neural networks
  45. Federated Unlearning: a Perspective of Stability and FairnessLLM safety and security → Federated unlearning and poisoning
  46. LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
  47. Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?Diffusion models → 3D, point cloud and scene generation
  48. Neural Language of Thought ModelsLLM reasoning → Test-time compute and efficient thinking
  49. 2AFC Prompting of Large Multimodal Models for Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
  50. Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing SystemsDeep reinforcement learning methods → RL for energy, networks and operations
  51. A Multi-Agent Conversational Recommender SystemLLM agents and tool use → Agentic recommender systems
  52. PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
  53. Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and RandomizationLLM safety and security → Membership inference attacks
  54. Near-Optimal Reinforcement Learning with Self-Play under Adaptivity ConstraintsDeep reinforcement learning methods → RL theory and sample complexity
  55. Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning AttackLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  56. Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered SolutionsLLM reasoning → Reasoning for agents, planning and code +1
  57. A Survey for Foundation Models in Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
  58. Universal Imitation Games
  59. A Note On Lookahead In Real Life And Computing
  60. widetildeO(T-1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games
  61. Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
  62. Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
  63. Extinction Risks from AI: Invisible to Science?
  64. At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
  65. Balanced Resonate-and-Fire Neurons
  66. Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
  67. How Can Generative AI Enhance the Well-being of Blind?
  68. A Survey on Large Language Model Hallucination via a Creativity Perspective
  69. Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
  70. A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networks
  71. Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs
  72. Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision
  73. FPGA Deployment of LFADS for Real-time Neuroscience Experiments
  74. Exploring the Effects of Population and Employment Characteristics on Truck Flows: An Analysis of NextGen NHTS Origin-Destination Data
  75. Exact Tensor Completion Powered by Slim Transforms
  76. Stochastic Modified Flows for Riemannian Stochastic Gradient Descent
  77. Detection of tortured phrases in scientific literature
  78. Evaluation of Google's Voice Recognition and Sentence Classification for Health Care Applications
  79. Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
  80. OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis
  81. ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields
  82. A Case Study on Filtering for End-to-End Speech Translation
  83. Precedence-Constrained Winter Value for Effective Graph Data Valuation
  84. A Morphologically-Aware Dictionary-based Data Augmentation Technique for Machine Translation of Under-Represented Languages
  85. Code Representation Learning At Scale
  86. Digits micro-model for accurate and secure transactions
  87. Reducing Optimism Bias in Incomplete Cooperative Games
  88. Sample, estimate, aggregate: A recipe for causal discovery foundation models
  89. Robust Counterfactual Explanations in Machine Learning: A Survey
  90. A General Framework for Learning from Weak Supervision
  91. Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges
  92. CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish
  93. Robust Inverse Graphics via Probabilistic Inference
  94. Natural language guidance of high-fidelity text-to-speech with synthetic annotations
  95. From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
  96. On Catastrophic Inheritance of Large Foundation Models
  97. EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series
  98. Distributional Off-policy Evaluation with Bellman Residual Minimization
  99. On f-Divergence Principled Domain Adaptation: An Improved Framework
  100. σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples
All 328
  1. Ultrafast jet classification on FPGAs for the HL-LHC
  2. The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
  3. Challenges in Training PINNs: A Loss Landscape Perspective
  4. Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
  5. What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
  6. (A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
  7. DFML: Decentralized Federated Mutual Learning
  8. Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
  9. Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models
  10. Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors
  11. Capturing waste collection planning expert knowledge in a fitness function through preference learning
  12. Multi-Armed Bandits with Interference
  13. COMET: Generating Commit Messages using Delta Graph Context Representation
  14. SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
  15. Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
  16. PiCO: Peer Review in LLMs based on the Consistency Optimization
  17. Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
  18. Leveraging Few-Shot Learning and Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature
  19. Fractal Patterns May Illuminate the Success of Next-Token Prediction
  20. Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model
  21. Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
  22. A Distributionally Robust Optimisation Approach to Fair Credit Scoring
  23. Parameter uncertainties for imperfect surrogate models in the low-noise regime
  24. PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks
  25. HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
  26. Analysis of Internet of Things Implementation Barriers in the Cold Supply Chain: An Integrated ISM-MICMAC and DEMATEL Approach
  27. An Auction-based Marketplace for Model Trading in Federated Learning
  28. Large Language Models for Time Series: A Survey
  29. Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
  30. Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning
  31. Robust support vector machines via conic optimization
  32. Speech foundation models in healthcare: Effect of layer selection on pathological speech feature prediction
  33. Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
  34. Variational Quantum Circuits Enhanced Generative Adversarial Network
  35. An introduction to graphical tensor notation for mechanistic interpretability
  36. The Political Preferences of LLMs
  37. LitLLM: A Toolkit for Scientific Literature Review
  38. Conditional Mean and Variance Estimation via textitk-NN Algorithm with Automated Variance Selection
  39. Time-Varying Gaussian Process Bandits with Unknown Prior
  40. Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction
  41. Stochastic Two Points Method for Deep Model Zeroth-order Optimization
  42. KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
  43. Style Vectors for Steering Generative Large Language Model
  44. A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments
  45. L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
  46. Nomic Embed: Training a Reproducible Long Context Text Embedder
  47. Contingency Analysis of a Grid of Connected EVs for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme
  48. Natural Counterfactuals With Necessary Backtracking
  49. Hyperparameter tuning via trajectory predictions: Stochastic prox-linear methods in matrix sensing
  50. Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
  51. Immersive Video Compression using Implicit Neural Representations
  52. Towards Sustainable Workplace Mental Health: A Novel Approach to Early Intervention and Support
  53. NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties
  54. Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study
  55. Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
  56. Are Paralinguistic Representations all that is needed for Speech Emotion Recognition?
  57. Deep Active Learning for Data Mining from Conflict Text Corpora
  58. Spiking Music: Audio Compression with Event Based Auto-encoders
  59. Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
  60. Boximator: Generating Rich and Controllable Motions for Video Synthesis
  61. Deep Continuous Networks
  62. SLYKLatent: A Learning Framework for Gaze Estimation Using Deep Facial Feature Learning
  63. Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
  64. Adaptive Optimization for Prediction with Missing Data
  65. Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation
  66. Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data
  67. Homogenization Effects of Large Language Models on Human Creative Ideation
  68. An Empirical Analysis of Diversity in Argument Summarization
  69. HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
  70. Low-Resource Cross-Domain Singing Voice Synthesis via Reduced Self-Supervised Speech Representations
  71. Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergence
  72. Mapping the Multiverse of Latent Representations
  73. Multilingual Gradient Word-Order Typology from Universal Dependencies
  74. Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
  75. A Hybrid Strategy for Chat Transcript Summarization
  76. Advancing Brain Tumor Inpainting with Generative Models
  77. Code-Switched Language Identification is Harder Than You Think
  78. Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
  79. Developing and Evaluating a Design Method for Positive Artificial Intelligence
  80. A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
  81. Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
  82. Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
  83. Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
  84. Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
  85. Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
  86. Scaled 360 layouts: Revisiting non-central panoramas
  87. 3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes
  88. Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization
  89. Deep conditional distribution learning via conditional F"ollmer flow
  90. GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting
  91. Convolution kernel adaptation to calibrated fisheye
  92. Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
  93. The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs
  94. Improving importance estimation in covariate shift for providing accurate prediction error
  95. Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
  96. Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
  97. Learning the Market: Sentiment-Based Ensemble Trading Agents
  98. A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
  99. From Words to Molecules: A Survey of Large Language Models in Chemistry
  100. Approximate Control for Continuous-Time POMDPs
  101. The effect of diversity on group decision-making
  102. A Data-Driven Analysis of Robust Automatic Piano Transcription
  103. Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
  104. EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
  105. Sequence Shortening for Context-Aware Machine Translation
  106. SMLP: Symbolic Machine Learning Prover
  107. Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge
  108. XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision
  109. Counterfactual Concept Bottleneck Models
  110. On Measuring Context Utilization in Document-Level MT Systems
  111. Query-Efficient Correlation Clustering with Noisy Oracle
  112. A Probabilistic Model Behind Self-Supervised Learning
  113. ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
  114. SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
  115. LLM-based NLG Evaluation: Current Status and Challenges
  116. Emergence of heavy tails in homogenized stochastic gradient descent
  117. Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization
  118. Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble
  119. LoTR: Low Tensor Rank Weight Adaptation
  120. Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
  121. Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
  122. LIR: A Lightweight Baseline for Image Restoration
  123. Continual Learning for Large Language Models: A Survey
  124. What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
  125. TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
  126. FindingEmo: An Image Dataset for Emotion Recognition in the Wild
  127. Describing Images textitFast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes
  128. LLMs May Perform MCQA by Selecting the Least Incorrect Option
  129. CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
  130. Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
  131. Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification
  132. Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
  133. Fundamental Properties of Causal Entropy and Information Gain
  134. SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
  135. Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks
  136. BehAVE: Behaviour Alignment of Video Game Encodings
  137. A general framework for rotation invariant point cloud analysis
  138. Supervised Algorithmic Fairness in Distribution Shifts: A Survey
  139. AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search
  140. Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks
  141. Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
  142. AGILE: Approach-based Grasp Inference Learned from Element Decomposition
  143. A Unified Framework for Center-based Clustering of Distributed Data
  144. Two Approaches to Diachronic Normalization of Polish Texts
  145. Learning Semantic Information from Raw Audio Signal Using Both Contextual and Phonetic Representations
  146. Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
  147. Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference
  148. ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
  149. From Evidence to Decision: Exploring Evaluative AI
  150. UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding
  151. Differentiable and accelerated wavelet transforms on the sphere and ball
  152. Parametric-Task MAP-Elites
  153. On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
  154. Spectrum-guided Feature Enhancement Network for Event Person Re-Identification
  155. The Human and the Mechanical: logos, truthfulness, and ChatGPT
  156. Direct side information learning for zero-shot regression
  157. A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
  158. Class incremental learning with probability dampening and cascaded gated classifier
  159. TEDDY: Trimming Edges with Degree-based Discrimination strategY
  160. Position Aware 60 GHz mmWave Beamforming for V2V Communications Utilizing Deep Learning
  161. Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
  162. Target inductive methods for zero-shot regression
  163. Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
  164. Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting
  165. PRIME: Protect Your Videos From Malicious Editing
  166. Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
  167. Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
  168. STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition
  169. HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays
  170. Delving into Decision-based Black-box Attacks on Semantic Segmentation
  171. AI Code Generators for Security: Friend or Foe?
  172. ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis
  173. TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network
  174. Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
  175. Efficient Causal Graph Discovery Using Large Language Models
  176. Comparative Evaluation of Weather Forecasting using Machine Learning Models
  177. A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
  178. Few-Shot Class-Incremental Learning with Prior Knowledge
  179. MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem
  180. Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
  181. Unsupervised Generation of Pseudo Normal PET from MRI with Diffusion Model for Epileptic Focus Localization
  182. Segment Any Change
  183. DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning
  184. Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
  185. LINGO-Space: Language-Conditioned Incremental Grounding for Space
  186. In-Context Learning for Few-Shot Nested Named Entity Recognition
  187. CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks
  188. Efficient Prompt Caching via Embedding Similarity
  189. Streaming Sequence Transduction through Dynamic Compression
  190. AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements
  191. Faster Inference of Integer SWIN Transformer by Removing the GELU Activation
  192. A Comprehensive Survey on 3D Content Generation
  193. Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning for Robust Forecasting and Security
  194. Truncated Non-Uniform Quantization for Distributed SGD
  195. LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning
  196. Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
  197. CABINET: Content Relevance based Noise Reduction for Table Question Answering
  198. AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents
  199. Scale Equalization for Multi-Level Feature Fusion
  200. The Optimality of Kernel Classifiers in Sobolev Space
  201. Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
  202. ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  203. Learning Network Representations with Disentangled Graph Auto-Encoder
  204. Root Cause Analysis In Microservice Using Neural Granger Causal Discovery
  205. Online conformal prediction with decaying step sizes
  206. Graph Neural Networks in EEG-based Emotion Recognition: A Survey
  207. DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping
  208. Seeing Objects in a Cluttered World: Computational Objectness from Motion in Video
  209. A Single Simple Patch is All You Need for AI-generated Image Detection
  210. DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models
  211. Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
  212. Interpretation of Intracardiac Electrograms Through Textual Representations
  213. Simulation of Graph Algorithms with Looped Transformers
  214. Compositional Generative Modeling: A Single Model is Not All You Need
  215. Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent
  216. Let's Negotiate! A Survey of Negotiation Dialogue Systems
  217. Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
  218. Minimal Sufficient Views: A DNN model making predictions with more evidence has higher accuracy
  219. Need a Small Specialized Language Model? Plan Early!
  220. A Dynamical Model of Neural Scaling Laws
  221. Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
  222. Scalable Higher-Order Tensor Product Spline Models
  223. No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
  224. Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
  225. Recent Advances in Predictive Modeling with Electronic Health Records
  226. DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks
  227. Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities
  228. FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shifting