Most Cited 2025 "function estimation" Papers
22,274 papers found • Page 93 of 112
Conference
Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
Deheng Yuan, Tao Guo, Zhongyi Huang
Distributional LLM-as-a-Judge
Luyu Chen, Zeyu Zhang, Haoran Tan et al.
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
DEOKJAE LEE, Hyun Oh Song
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu et al.
RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models
Junda Zhu, Jun Ai, Yujun Li et al.
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond
Risheng Liu, Zhu Liu, Weihao Mao et al.
REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
Shuguang Wang, Qian Zhou, Kui Wu et al.
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
Junhao Dong, Jiao Liu, Xinghua Qu et al.
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
Zhenghao He, Sanchit Sinha, Guangzhi Xiong et al.
$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
Francesco Innocenti, El Mehdi Achour, Christopher L Buckley
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
Justin Lazarow, Kai Kang, Afshin Dehghan
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
Xuhui Liao, qiyu wang, Zhiqiang Liang et al.
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
Han Ji, Yuqi Feng, Jiahao Fan et al.
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
Yan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
GDKVM: Echocardiography Video Segmentation via Spatiotemporal Key-Value Memory with Gated Delta Rule
Rui Wang, Yimu Sun, Jingxing Guo et al.
Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
Tingting Dan, Zhihao Fan, Guorong Wu
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
Han Wang, Chao Ning
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi, Hyesu Lim, Steffen Schneider et al.
Graphs Help Graphs: Multi-Agent Graph Socialized Learning
Jialu Li, Yu Wang, Pengfei Zhu et al.
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Proutiere
Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
Rui Wang, Chen Hu, Xiaoning Song et al.
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
Xiaorui Jiang, Buyun He, Peng Yuan Zhou et al.
BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model
Ziquan Wei, Tingting Dan, Tianlong Chen et al.
VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences
Siqi Wan, Jingwen Chen, Qi Cai et al.
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
Nguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen et al.
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
Hiding Images in Diffusion Models by Editing Learned Score Functions
Haoyu Chen, Yunqiao Yang, Nan Zhong et al.
Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
Gang Wan, Qinlong Lan, Zihan Li et al.
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner et al.
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
Mingzhuo Lin, Jianping Luo
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin et al.
Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost
Sheng Cao, Mingrui Wu, Karthik Prasad et al.
Low-Rank Head Avatar Personalization with Registers
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman et al.
Uncertainty-Sensitive Privileged Learning
Fan-Ming Luo, Lei Yuan, Yang Yu
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
Wenjie Du, Xuqiang Li, Jinke Feng et al.
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
Amirhossein Ansari, Ke Wang, Pulei Xiong
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
ZUYU ZHANG, Ning Chen, Yongshan Liu et al.
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
Shangbo Wu, Yu-an Tan, Ruinan Ma et al.
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
Xiao Zhang, Fei Wei, Yong Wang et al.
Boundary Probing for Input Privacy Protection When Using LMM Services
Xiaofei Hui, Haoxuan Qu, Ping Hu et al.
Reconciling Geospatial Prediction and Retrieval via Sparse Representations
YI LI, CHEN YUANLONG, Weiming Huang et al.
Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation
Tanay Agrawal, Abid Ali, Antitza Dantcheva et al.
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
Jiale Ma, Wenzheng Pan, Yang Li et al.
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
TAOTAO JING, Tina Chen, Renran Tian et al.
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
Huiyang Shao, Xin Xia, Yuxi Ren et al.
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains
Colin Kohler, Purvik Patel, Nathan Vaska et al.
Few-Shot Pattern Detection via Template Matching and Regression
Eunchan Jo, Dahyun Kang, Sanghyun Kim et al.
Language Models (Mostly) Know When to Stop Reading
Roy Xie, Junlin Wang, Paul Rosu et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunovic, Jasper Dekoninck, Ivo Petrov et al.
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
DiffRefine: Diffusion-based Proposal Specific Point Cloud Densification for Cross-Domain Object Detection
Sangyun Shin, Yuhang He, Xinyu Hou et al.
A Physics-Informed Blur Learning Framework for Imaging Systems
liqun.chen, Yuxuan Li, Jun Dai et al.
LIRA: Reasoning Reconstruction via Multimodal Large Language Models
Zhen Zhou, Tong Wang, Yunkai Ma et al.
Risk-Averse Total-Reward Reinforcement Learning
Xihong Su, Jia Lin Hau, Gersi Doko et al.
New Parallel and Streaming Algorithms for Directed Densest Subgraph
Slobodan Mitrovic, Theodore Pan, Mahdi Qaempanah et al.
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling
Chenxin Li, Yifan Liu, Panwang Pan et al.
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
Federated Multi-armed Bandits with Efficient Bit-Level Communications
Haoran Zhang, Yang Xu, Xuchuang Wang et al.
One for All: Universal Topological Primitive Transfer for Graph Structure Learning
Yide Qiu, Tong Zhang, Xing Cai et al.
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan et al.
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, Andre Araujo et al.
Locality Sensitive Avatars From Video
Chunjin Song, Zhijie Wu, Shih-Yang Su et al.
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
Sascha Xu, Nils Philipp Walter, Jilles Vreeken
Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
Hyuna Cho, Ziquan Wei, Seungjoo Lee et al.
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.
LLM-assisted Entropy-based Adaptive Distillation for Unsupervised Fine-grained Visual Representation Learning
Jianfeng Dong, Danfeng Luo, Daizong Liu et al.
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
lee hyuck, Taemin Park, Heeyoung Kim
Uncertainty-aware Preference Alignment for Diffusion Policies
Runqing Miao, Sheng Xu, Runyi Zhao et al.
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.
Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration
Yan Zhuang, Jiawei Ren, Xiaokang Ye et al.
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
Yu Li, Jin Jiang, Jianhua Zhu et al.
Large Language Models as Model Organisms for Human Associative Learning
Camila Kolling, Vy Vo, Mariya Toneva
ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset
Xu Wang, Jingyuan Zhuo, Zhiyuan You et al.
MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
Mattia Segu, Marta Tintore Gazulla, Yongqin Xian et al.
CIARD: Cyclic Iterative Adversarial Robustness Distillation
Liming Lu, Shuchao Pang, Xu Zheng et al.
MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
Tianhao Li, Tingfa Xu, Ying Wang et al.
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
Kaichen Xu, Yihang Du, Mianpeng Liu et al.
VideoSetDiff: Identifying and Reasoning Similarities and Differences in Similar Videos
YUE QIU, Yanjun Sun, Takuma Yagi et al.
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
Fernando Julio Cendra, Kai Han
Rectified CFG++ for Flow Based Models
Shreshth Saini, Shashank Gupta, Alan Bovik
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
Yiheng Lin, Christopher Yeh, Zaiwei Chen et al.
FastJAM: a Fast Joint Alignment Model for Images
Omri Hirsch, Ron Shapira Weber, Shira Ifergane et al.
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
Dongping Liao, Xitong Gao, Cheng-Zhong Xu
Tree-Based Premise Selection for Lean4
Zichen Wang, Anjie Dong, Zaiwen Wen
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.
Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration
Dongyue Wu, Zilin Guo, Jialong Zuo et al.
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
Yunqi Gao, Bing Hu, Boloursaz Mashhadi et al.
HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference
Inho Jeong, Sunghyeon Woo, Sol Namkung et al.
TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
Finlay Hudson, James Gardner, William Smith
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity, Ayan Bhunia, Subhadeep Koley et al.
A Single-Swap Local Search Algorithm for k-Means of Lines
Ting Liang, Xiaoliang Wu, Junyu Huang et al.
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
Yixu Wang, Yan Teng, Yingchun Wang et al.
TITAN: Query-Token based Domain Adaptive Adversarial Learning
Tajamul Ashraf, Janibul Bashir
Deciphering Cross-Modal Alignment in Large Vision-Language Models via Modality Integration Rate
Qidong Huang, Xiaoyi Dong, Pan Zhang et al.
Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement
Kotaro Yoshida, Yuji Naraki, Takafumi Horie et al.
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
Hua Ye, Siyuan Chen, Haoliang Zhang et al.
One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators
Parag Dutta, Mohd Ayyoob, Shalabh Bhatnagar et al.
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training
Mengmeng Sheng, Zeren Sun, Tianfei Zhou et al.
Test-Time Prompt Tuning for Zero-Shot Depth Completion
Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park et al.
Quantifying Generalisation in Imitation Learning
Nathan Gavenski, Odinaldo Rodrigues
Exploring and Exploiting Model Uncertainty in Bayesian Optimization
Zishi Zhang, Tao Ren, Yijie Peng
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
Junjie Nan, Jianing Li, Wei Chen et al.
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson et al.
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
Stephen Obadinma, Xiaodan Zhu
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
Jiawei Sun, Shuai Zhang, Hongkang Li et al.
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
Dennis Wagner, Fabian Hartung, Justus Arweiler et al.
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.
DIH-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation
Songsong Duan, Xi Yang, Nannan Wang
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou, Liuhua Peng, Xunye Tian et al.
HADES: Human Avatar with Dynamic Explicit Hair Strands
Zhanfeng Liao, Hanzhang Tu, Cheng Peng et al.
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
Yu Zheng, Boyang Gong, Fanye Kong et al.
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition
Jongseo Lee, Wooil Lee, Gyeong-Moon Park et al.
Tight Asymptotics of Extreme Order Statistics
Matias Romero, Frederik Mallmann-Trenn, Jose Correa
Individually Fair Diversity Maximization
Ruien Li, Yanhao Wang
Parameter Dynamics of Online Machine Learning and Test-time Adaptation
Jae-Hong Lee
Machine Unlearning via Task Simplex Arithmetic
Junhao Dong, Hao Zhu, Yifei Zhang et al.
Differential Privacy on Fully Dynamic Streams
Yuan Qiu, Ke Yi
CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference
Qiyi Wang, Senda Chen, Ying Shen
Hierarchical Event Memory for Accurate and Low-latency Online Video Temporal Grounding
Minghang Zheng, Yuxin Peng, Benyuan Sun et al.
Online robust locally differentially private learning for nonparametric regression
Chenfei Gu, Qiangqiang Zhang, Ting Li et al.
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training
Yanyun Wang, Li Liu
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
Diya Zhang, Mengwei Sun, Xingdan Wang et al.
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
Kha Pham, Hung Le, Man Ngo et al.
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
Liting Lin, Heng Fan, Zhipeng Zhang et al.
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
Mingxiao Li, Mang Ning, Marie-Francine Moens
SFS: Smarter Code Space Search improves LLM Inference Scaling
Jonathan Light, Yue Wu, Yiyou Sun et al.
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
Yoshihiro Yamada
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning
Yiwen Zhu, Jinyi Liu, Pengjie Gu et al.
Stochastic Gradient Estimation for Higher-Order Differentiable Rendering
Zican Wang, Michael Fischer, Tobias Ritschel
Let a Neural Network be Your Invariant
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal et al.
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Liao
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
Tianxing Man, Yu Bai, Ganyu Wang et al.
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers
Nikaan Nikzad, YI LIAO, Yongsheng Gao et al.
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
Yancheng Zhang, Guangyu Sun, Chen Chen
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
Zebin Yang, Sunjian Zheng, Tong Xie et al.
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim, Bryan Sangwoo Kim, Jong Ye
Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy
Michele Baldassini, Francesco Pistolesi, Beatrice Lazzerini
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
Dapeng Zhang, Fei Shen, Rui Zhao et al.
Torch-Uncertainty: Deep Learning Uncertainty Quantification
Adrien Lafage, Olivier Laurent, Firas Gabetni et al.
Replicable Distribution Testing
Ilias Diakonikolas, Jingyi Gao, Daniel Kane et al.
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
Lujian Yao, Siming Zheng, Xinbin Yuan et al.
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
Zehui Li, Vallijah Subasri, Yifei Shen et al.
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
Yixiu Mao, Yun Qu, Qi Wang et al.
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
Jiyeon Kang, Songseong Kim, Chanhui Lee et al.
Provable Watermarking for Data Poisoning Attacks
Yifan Zhu, Lijia Yu, Xiao-Shan Gao
CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities
Yan Zhuang, Minhao Liu, Wei Bai et al.
MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
Guancheng Wan, Fengyuan Ran, Ruikang Zhang et al.
Evolutionary Prediction Games
Eden Saig, Nir Rosenfeld
FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization
Seung-Wook Kim, Seongyeol Kim, Jiah Kim et al.
$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor et al.
Adversarial Purification via Super-Resolution and Diffusion
Mincheol Park, Cheonjun Park, Seungseop Lim et al.
Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory
Svetha Venkatesh, Kien Do, Hung Le et al.
A Temporal Difference Method for Stochastic Continuous Dynamics
Haruki Settai, Naoya Takeishi, Takehisa Yairi
ZFusion: Efficient Deep Compositional Zero-shot Learning for Blind Image Super-Resolution with Generative Diffusion Prior
Alireza Esmaeilzehi, Hossein Zaredar, Yapeng Tian et al.
Learning A Unified Template for Gait Recognition
Panjian Huang, Saihui Hou, Junzhou Huang et al.
DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
Jingyi Tian, Le Wang, Sanping Zhou et al.
Causal Mixture Models: Characterization and Discovery
Sarah Mameche, Janis Kalofolias, Jilles Vreeken
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
Zhixiao Wu, Yao Lu, Jie Wen et al.
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
Brian Isaac-Medina, Mauricio Che, Yona Falinie A. Gaus et al.
Learning Gradient Boosted Decision Trees with Algorithmic Recourse
Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction
Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.
Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs
Sammy Khalife, Josué Tonelli-Cueto
Embeddings as Probabilistic Equivalence in Logic Programs
Jaron Maene, Efthymia Tsamoura
HUNet: Homotopy Unfolding Network for Image Compressive Sensing
Feiyang Shen, Hongping Gan
VIKING: Deep variational inference with stochastic projections
Samuel Matthiesen, Hrittik Roy, Nicholas Krämer et al.
Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning
Xinyu Sun, Zhikun Zhao, congyan lang et al.
STACI: Spatio-Temporal Aleatoric Conformal Inference
Brandon Feng, David Park, Xihaier Luo et al.
COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
Jules Sintes, Ana Busic
WolBanking77: Wolof Banking Speech Intent Classification Dataset
Abdou Karim KANDJI, Frederic Precioso, Cheikh BA et al.
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
Haocheng Luo, Mehrtash Harandi, Dinh Phung et al.
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
Junhao Dong, Cong Zhang, Xinghua Qu et al.
CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning
Kuniaki Saito, Donghyun Kim, Kwanyong Park et al.
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
Leslie Hwang
Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity
Qiyao Wei, Edward R Morrell, Lea Goetz et al.
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting
Jiawei Zhang, Youmin Zhang, Fabio Tosi et al.
Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Soumita Hait, Ping Li, Haipeng Luo et al.
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Weixin Chen, Han Zhao
Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
Youjia Zhang, Youngeun Kim, Young-Geun Choi et al.
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian Knight et al.
Optimization Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao, Xin Wang, Yibo Yang et al.