Most Cited 2025 "llm judge" Papers
22,274 papers found • Page 50 of 112
Conference
Primal-Dual Neural Algorithmic Reasoning
Yu He, Ellen Vitercik
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks
Sheng Shang, Chenglong Zhao, Ruixin Zhang et al.
Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
Carlota Parés Morlans, Michelle Yi, Claire Chen et al.
Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
Yuzhou Chen, Yulia Gel
A Market for Accuracy: Classification Under Competition
Ohad Einav, Nir Rosenfeld
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
Wonjun Lee, Bumsub Ham, Suhyun Kim
Contrastive Functional Principal Component Analysis
Eric Zhang, Didong Li
SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space
Xupeng Zhu, Fan Wang, Robin Walters et al.
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
Yutian Lei, Luping Ji, Pei Liu
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
Konrad Mundinger, Max Zimmer, Aldo Kiem et al.
Robust Reward Alignment via Hypothesis Space Batch Cutting
Zhixian Xie, Haode Zhang, Yizhe Feng et al.
Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra
Roman Worschech, Bernd Rosenow
Stronger Neyman Regret Guarantees for Adaptive Experimental Design
Georgy Noarov, Riccardo Fogliato, Martin A Bertran et al.
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Wentian Qu, Jiahe Li, Jian Cheng et al.
FOSP: Fine-tuning Offline Safe Policy through World Models
Chenyang Cao, Yucheng Xin, Silang Wu et al.
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
Mohammad Omama, Po-han Li, Sandeep Chinchali
A Model of Place Field Reorganization During Reward Maximization
M Ganesh Kumar, Blake Bordelon, Jacob A Zavatone-Veth et al.
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Lirong Wu, Haitao Lin, Yufei Huang et al.
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Jiabao Wang, Zepeng Wu, Qian Dong et al.
Dimension Agnostic Neural Processes
Hyungi Lee, Chaeyun Jang, Dong Bok Lee et al.
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye et al.
Multi-Field Adaptive Retrieval
Millicent Li, Tongfei Chen, Ben Van Durme et al.
SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
Huajian Huang, Yingshu Chen, Longwei Li et al.
Designing Mechanical Meta-Materials by Learning Equivariant Flows
Mehran Mirramezani, Anne Meeussen, Katia Bertoldi et al.
Hyperbolic Genome Embeddings
Raiyan Khan, Philippe Chlenski, Itsik Pe'er
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
Hongyi Wan, Shiyuan Ren, Wei Huang et al.
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Transformer Block Coupling and its Correlation with Generalization in LLMs
Murdock Aubry, Haoming Meng, Anton Sugolov et al.
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue, Tong Zhao, Neil Shah et al.
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic
Mengxian Li, Qi Wang, Yongjun Xu
Inverse Optimization via Learning Feasible Regions
Ke Ren, Peyman Mohajerin Esfahani, Angelos Georghiou
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
Chenyang Zhang, Xiaoyu Zhang, Jian Lou et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo PARK, Garud Iyengar et al.
RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
Xi Xie, Yuebo Luo, Hongwu Peng et al.
Efficient Robustness Evaluation via Constraint Relaxation
Chao Pan, Yu Wu, Ke Tang et al.
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Muleilan Pei, Shaoshuai Shi, Lu Zhang et al.
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
Feng Shibo, Peilin Zhao, Liu Liu et al.
Steering Protein Language Models
Long-Kai Huang, Rongyi Zhu, Bing He et al.
Multi-Scale Contrastive Learning for Video Temporal Grounding
Thong Thanh Nguyen, Yi Bin, Xiaobao Wu et al.
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
Gaozheng Pei, Shaojie Lyu, Ke Ma et al.
When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
Dong Xiao, Guangyao Chen, Peixi Peng et al.
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Kyle Cox, Jiawei Xu, Yikun Han et al.
Linear Bandits with Memory
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran et al.
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Chutian Meng, Fan Ma, Jiaxu Miao et al.
Community-Centric Graph Unlearning
Yi Li, Shichao Zhang, Guixian Zhang et al.
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Zhaoyi Zhou, Yuda Song, Andrea Zanette
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
Sen Peng, Mingyue Wang, Jianfei He et al.
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
Ruixin Mao, Aoyu Shen, Lin Tang et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
Zhiqiang Li, Haiyong Bao, Menghong Guan et al.
Advancing Out-of-Distribution Detection via Local Neuroplasticity
Alessandro Canevaro, Julian Schmidt, Sajad Marvi et al.
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Kaiyu Guo, Zijian Wang, Tan Pan et al.
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li et al.
Towards Robust Influence Functions with Flat Validation Minima
Xichen Ye, Yifan Wu, Weizhong Zhang et al.
On the Query Complexity of Verifier-Assisted Language Generation
Edoardo Botta, Yuchen Li, Aashay Mehta et al.
Learning Optimal Multimodal Information Bottleneck Representations
Qilong Wu, Yiyang Shao, Jun Wang et al.
Predicting the Susceptibility of Examples to Catastrophic Forgetting
Guy Hacohen, Tinne Tuytelaars
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju et al.
The Four Color Theorem for Cell Instance Segmentation
Ye Zhang, Yu Zhou, Yifeng Wang et al.
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
Dongsu Lee, Minhae Kwon
Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
Anirudh Sundara Rajan, Yong Jae Lee
MixMin: Finding Data Mixtures via Convex Minimization
Anvith Thudi, Evianne Rovers, Yangjun Ruan et al.
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky et al.
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
Kedi Lyu, Haipeng Chen, Zhenguang Liu et al.
Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel et al.
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
Haoran Li, Xingjian Li, Jiahua Shi et al.
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin et al.
Faster Approximation Algorithms for k-Center via Data Reduction
Arnold Filtser, Shaofeng Jiang, Yi Li et al.
Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti et al.
DICE: Data Influence Cascade in Decentralized Learning
Tongtian Zhu, Wenhao Li, Can Wang et al.
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
Jue Gong, Jingkai Wang, Zheng Chen et al.
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Yidi Liu, Dong Li, Jie Xiao et al.
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval
Yang Liu, Shudong Huang, Deng Xiong et al.
Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
Hao Li, Ruoyuan Gong, Hao Jiang
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
Zhepei Wei, Wei-Lin Chen, Xinyu Zhu et al.
A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
Edward Chang
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
Xingbo Liu, Xuening Zhang, Xiushan Nie et al.
Speedup Techniques for Switchable Temporal Plan Graph Optimization
He Jiang, Muhan Lin, Jiaoyang Li
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
Gabriele Visentin, Patrick Cheridito
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Shuqi Lu, Xiaohong Ji, Bohang Zhang et al.
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
Zhihao Ding, Ting Zhang, Yiran Li et al.
Diffusion Counterfactual Generation with Semantic Abduction
Rajat Rasal, Avinash Kori, Fabio De Sousa Ribeiro et al.
A First-order Generative Bilevel Optimization Framework for Diffusion Models
Quan Xiao, Hui Yuan, A F M Saif et al.
Navigating Conflicting Views: Harnessing Trust for Learning
Jueqing Lu, Wray Buntine, Yuanyuan Qi et al.
Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks
Runpeng Yu, Xinchao Wang
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren et al.
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Gaofeng Liu, Zhiyuan Ma, Tao Fang
Whitened CLIP as a Likelihood Surrogate of Images and Captions
Roy Betser, Meir Yossef Levi, Guy Gilboa
Dynamic Sparse Training of Diagonally Sparse Networks
Abhishek Tyagi, Arjun Iyer, William Renninger et al.
Enhancing Multi-View Classification Reliability with Adaptive Rejection
Wei Liu, Yufei Chen, Xiaodong Yue
Aligning Visual Contrastive learning models via Preference Optimization
Amirabbas Afzali, Borna khodabandeh, Ali Rasekh et al.
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
Mateusz Olko, Mateusz Gajewski, Joanna Wojciechowska et al.
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles
Yangkai Lin, Jiabao Lei, Kui Jia
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai et al.
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
Jiayi Lin, Jiabo Huang, Jian Hu et al.
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
Yuchen Liu, Chen Chen, Lingjuan Lyu et al.
Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
Zhengwei Yin, Hongjun Wang, Guixu Lin et al.
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Zixi Liang, Guowei Xu, Haifeng Wu et al.
Learning Color Equivariant Representations
Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
Giuseppe Serra, Florian Buettner
Actor-Critics Can Achieve Optimal Sample Efficiency
Kevin Tan, Wei Fan, Yuting Wei
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
Kaihui Cheng, Ce Liu, Qingkun Su et al.
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
Zhaohui JIANG, Xuening Feng, Paul Weng et al.
SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
Sathvik Chereddy, John Femiani
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
Shijie Li, Weijun Lin, Qingyuan Xiang et al.
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.
Holistic Semantic Representation for Navigational Trajectory Generation
Ji Cao, Tongya Zheng, Qinghong Guo et al.
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
Tony Shen, Seonghwan Seo, Ross Irwin et al.
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang, Ming Gu, Sheng Zhou et al.
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
Jie Zhang, Zhongqi Wang, Mengqi Lei et al.
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation
Yuwu Lu, Xue Hu, Waikeung Wong et al.
Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
Yoann Boget
Tokenized Bandit for LLM Decoding and Alignment
Suho Shin, Chenghao Yang, Haifeng Xu et al.
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Andy Dong, Wei-Ning Chen, Ayfer Ozgur
Meta-Continual Learning of Neural Fields
Seungyoon Woo, Junhyeog Yun, Gunhee Kim
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
Cheol Kim, Jai Moondra, Shresth Verma et al.
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
Jiawei Li, Hongwei Yu, Jiansheng Chen et al.
3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
Jiahua Dong, Yu-Xiong Wang
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt
Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion
Dongjun Wei, Minjia Mao, Xiao Fang et al.
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising
Huaqiu Li, Wang Zhang, Xiaowan Hu et al.
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Bo Yue, Jian Li, Guiliang Liu
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
Ju-Seung Byun, Andrew Perrault
Speeding up Policy Simulation in Supply Chain RL
Vivek Farias, Joren Gijsbrechts, Aryan Khojandi et al.
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne, Jose Pablo Folch, Robert Lee et al.
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Ran Ma, Yixiong Zou, Yuhua Li et al.
Exact Certification of (Graph) Neural Networks Against Label Poisoning
Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann et al.
Gradient-based Explanations for Deep Learning Survival Models
Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller et al.
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
Local Causal Discovery for Structural Evidence of Direct Discrimination
Jacqueline Maasch, Kyra Gan, Violet Chen et al.
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
Steering Protein Family Design through Profile Bayesian Flow
Jingjing Gong, Yu Pei, Siyu Long et al.
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
JunGyu Lee, Yeji Choi, Haksub Kim et al.
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
Clément Pierquin, Aurélien Bellet, Marc Tommasi et al.
Determinant Estimation under Memory Constraints and Neural Scaling Laws
Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
SPACETIME: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad et al.
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le et al.
Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays, Manish Raghavan
CohEx: A Generalized Framework for Cohort Explanation
Fanyu Meng, Xin Liu, Zhaodan Kong et al.
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA
Jian Lan, Diego Frassinelli, Barbara Plank
No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data
Daniel Cai, Randall Balestriero
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation
Shentong Mo
Policy Gradient with Tree Expansion
Gal Dalal, Assaf Hallak, Gugan Chandrashekhar Mallika Thoppe et al.
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jiayi Kong, Xurui Song, Shuo Huai et al.
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu
Gandalf the Red: Adaptive Security for LLMs
Niklas Pfister, Václav Volhejn, Manuel Knott et al.
Distributed Event-Based Learning via ADMM
Guner Dilsad ER, Sebastian Trimpe, Michael Muehlebach
Hyper-Transforming Latent Diffusion Models
Ignacio Peis, Batuhan Koyuncu, Isabel Valera et al.
O-MAPL: Offline Multi-agent Preference Learning
The Viet Bui, Tien Mai, Thanh Nguyen
Conformal Structured Prediction
Botong Zhang, Shuo Li, Osbert Bastani
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim et al.
Dynamical phases of short-term memory mechanisms in RNNs
Bariscan Kurtkaya, Fatih Dinc, Mert Yuksekgonul et al.
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis
Gyeongjin Kang, Younggeun Lee, Seungjun Oh et al.
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
Yun Zhang, Wei Li, Simiao Li et al.
Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
Yubin Wang, Zhikang Zou, Xiaoqing Ye et al.
Optimizing Human Pose Estimation Through Focused Human and Joint Regions
Yingying Jiao, Zhigang Wang, Zhenguang Liu et al.
Weighted Poisson-disk Resampling on Large-Scale Point Clouds
Xianhe Jiao, Chenlei Lv, Junli Zhao et al.
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
Lincan Cai, Jingxuan Kang, Shuang Li et al.
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models
Jialin Zhao, Yingtao Zhang, Carlo Cannistraci
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
Yu Huang, Zixin Wen, Yuejie Chi et al.
Enhancing Learning with Label Differential Privacy by Vector Approximation
Puning Zhao, Jiafei Wu, Zhe Liu et al.
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
Targeted Unlearning with Single Layer Unlearning Gradient
Zikui Cai, Yaoteng Tan, M. Salman Asif
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue
Shichao Ma, Xinfeng Zhang, Zeng Zhao et al.
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
Pengfei Jiang, Mingbao Lin, Fei Chao
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
ERIC EATON, Marcel Hussing, Michael Kearns et al.
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
Wenyao Ni, Jiangrong Shen, Qi Xu et al.
VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting
Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin et al.
Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points
Aditya Vardhan Varre, Gizem Yüce, Nicolas Flammarion
HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality
Zhiming Hu, Guanhua Zhang, Zheming Yin et al.
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux, Max Zimmer, Sebastian Pokutta
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior
Lee Hyoseok, Kyeong Seon Kim, Kwon Byung-Ki et al.
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks
Attila Szász, Balázs Bánhelyi, Mark Jelasity
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
James Rowbottom, Georg Maierhofer, Teo Deveney et al.
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
Hanlin Pan, Kunpeng Liu, Wanfu Gao
It's My Data Too: Private ML for Datasets with Multi-User Training Examples
Arun Ganesh, Ryan McKenna, Hugh B McMahan et al.
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
Yong Liang Goh, Zhiguang Cao, Yining Ma et al.
BANGS: Game-theoretic Node Selection for Graph Self-Training
Fangxin Wang, Kay Liu, Sourav Medya et al.
Universal Approximation of Mean-Field Models via Transformers
Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
Batuhan K. Karaman, ishmam zabir, Alon Benhaim et al.
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs
HONG LI, Nanxi Li, Yuanjie Chen et al.
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
Honghua Dong, Jiacheng Yang, Xun Deng et al.
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang et al.
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta
Re-Aligning Language to Visual Objects with an Agentic Workflow
Yuming Chen, Jiangyan Feng, Haodong Zhang et al.
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
Zihao He, Shengchuan Zhang, Runze Hu et al.
Let the Code LLM Edit Itself When You Edit the Code
Zhenyu He, Jun Zhang, Shengjie Luo et al.