Most Cited NEURIPS "outlier rejection" Papers
5,858 papers found • Page 13 of 30
Conference
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix Nielsen, Emanuele Marconato, Andrea Dittadi et al.
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
Differentially Private Quantiles with Smaller Error
Jacob Imola, Fabrizio Boninsegna, Hannah Keller et al.
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
Rui Xu, Dakuan Lu, Zicheng Zhao et al.
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
Harsh Poonia, Felix Divo, Kristian Kersting et al.
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
Insu Lee, Wooje Park, Jaeyun Jang et al.
Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio et al.
HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour
IMPROVED LEARNING THEORY FOR KERNEL DISTRIBUTION REGRESSION WITH TWO-STAGE SAMPLING
Alberto González-Sanz, François Bachoc, Jean-Michel Loubes et al.
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
Junsoo Oh, Jerry Song, Chulhee Yun
Optimal Rates in Continual Linear Regression via Increasing Regularization
Ran Levinstein, Amit Attia, Matan Schliserman et al.
Solver-Free Decision-Focused Learning for Linear Optimization Problems
Senne Berden, Ali Mahmutoğulları, Dimos Tsouros et al.
Statistical Inference under Performativity
Xiang Li, Yunai Li, Huiying Zhong et al.
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
Yanlong Chen, Mattia Orlandi, Pierangelo Rapa et al.
ShiQ: Bringing back Bellman to LLMs
Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos et al.
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
Qing Li, Huifang Feng, Xun Gong et al.
System-Embedded Diffusion Bridge Models
Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang et al.
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu, Yixiong Zou, Jun Wang et al.
A duality framework for analyzing random feature and two-layer neural networks
Hongrui Chen, Jihao Long, Lei Wu
Selective Learning for Deep Time Series Forecasting
Yisong Fu, Zezhi Shao, Chengqing Yu et al.
On Transferring Transferability: Towards a Theory for Size Generalization
Eitan Levin, Yuxin Ma, Mateo Diaz et al.
SAS: Simulated Attention Score
Chuanyang Zheng, Jiankai Sun, Yihang Gao et al.
Many LLMs Are More Utilitarian Than One
Anita Keshmirian, Razan Baltaji, Babak Hemmatian et al.
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
Zongqian Li, Yixuan Su, Nigel Collier
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
Xiao Yu, Yan Fang, Yao Zhao et al.
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Suwandi, Feng Yin, Juntao Wang et al.
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference
Wenxuan Zeng, Ye Dong, Jinjin Zhou et al.
A Theory for Worst-Case vs. Average-Case Guarantees for LLMs
Noga Amit, Shafi Goldwasser, Orr Paradise et al.
COOPERA: Continual Open-Ended Human-Robot Assistance
Chenyang Ma, Kai Lu, Ruta Desai et al.
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
Yousef Al-Jazzazi, Haya Diwan, Jinrui Gou et al.
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
Anish Dhir, Cristiana Diaconu, Valentinian Lungu et al.
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding et al.
Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
Noémie Bergues, Arthur Carré, Paul Join-Lambert et al.
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
Zhining Liu, Zihao Li, Ze Yang et al.
A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
Stochastic Gradients under Nuisances
Facheng Yu, Ronak Mehta, Alex Luedtke et al.
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
Kaito Takanami, Takashi Takahashi, Ayaka Sakata
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
Kaiyang Guo, Yinchuan Li, Zhitang Chen
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
Fei Wang, Li Shen, Liang Ding et al.
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
Piyush Nitin Bagad, Andrew Zisserman
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
Jinzhe Liu, Junshu Sun, Shufan Shen et al.
HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
H M Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff et al.
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
Gyubin Lee, Bao Truong, Jaesik Yoon et al.
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Zhongzheng Qiao, Chenghao Liu, Yiming Zhang et al.
Improved Scaling Laws in Linear Regression via Data Reuse
Licong Lin, Jingfeng Wu, Peter Bartlett
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang, Xiaolei Wang, Yizheng Gong et al.
Optimism Without Regularization: Constant Regret in Zero-Sum Games
John Lazarsfeld, Georgios Piliouras, Ryann Sim et al.
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz et al.
Multivariate Latent Recalibration for Conditional Normalizing Flows
Victor Dheur, Souhaib Ben Taieb
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
Shijun Liang, Ismail Alkhouri, Siddhant Gautam et al.
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
Sam Bright-Thonney, Christina Reissel, Gaia Grosso et al.
Teaching Language Models to Reason with Tools
Chengpeng Li, Zhengyang Tang, Ziniu Li et al.
Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs
Zhixin Xie, Xurui Song, Jun Luo
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
Jiaye Qian, Ge Zheng, Yuchen Zhu et al.
Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
James Michaelov, Roger Levy, Benjamin Bergen
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Jiale Deng, Yanyan Shen, Ziyuan Pei et al.
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar et al.
Feedback-Aware MCTS for Goal-Oriented Information Seeking
Harshita Chopra, Chirag Shah
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
Pau Rodriguez, Michal Klein, Eleonora Gualdoni et al.
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
WEI-KAI CHANG, Rajiv Khanna
Disentangling Latent Shifts of In-Context Learning with Weak Supervision
Josip Jukić, Jan Šnajder
ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting
Ruifeng Luo, Zhengjie Liu, Tianxiao Cheng et al.
The Promise of RL for Autoregressive Image Editing
Saba Ahmadi, Rabiul Awal, Ankur Sikarwar et al.
Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
Delong Liu, Haiwen Li, Zhaohui Hou et al.
Group-Level Data Selection for Efficient Pretraining
Zichun Yu, Fei Peng, Jie Lei et al.
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
William Overman, Mohsen Bayati
Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
Yanghao Wang, Long Chen
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
Hongshu Guo, Zeyuan Ma, Yining Ma et al.
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
Christopher Yeh, Nicolas Christianson, Adam Wierman et al.
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li, Minghao Fu, Junxian Huang et al.
Variational Supervised Contrastive Learning
Ziwen Wang, Jiajun Fan, Thao Nguyen et al.
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune, David Vigouroux, Yilun Du et al.
Modeling the Economic Impacts of AI Openness Regulation
Tori Qiu, Benjamin Laufer, Jon Kleinberg et al.
Hadamax Encoding: Elevating Performance in Model-Free Atari
Jacob Eeuwe Kooi, Zhao Yang, Vincent Francois-Lavet
A Geometrical Analysis of Kernel Ridge Regression and its Applications
Georgios Gavrilopoulos, Guillaume Lecué, Zong Shang
Efficient Adaptive Federated Optimization
Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer et al.
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
Arthur Bizzi, Matias Grynberg Portnoy, Vitor Pereira Matias et al.
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
Seongsu Kim, Nayoung Kim, Dongwoo Kim et al.
Quantum Doubly Stochastic Transformers
Jannis Born, Filip Skogh, Kahn Rhrissorrakrai et al.
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
Li Ju, Max Andersson, Stina Fredriksson et al.
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.
Robo2VLM: Improving Visual Question Answering using Large-Scale Robot Manipulation Data
Kaiyuan Eric Chen, Shuangyu Xie, Zehan Ma et al.
SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference
Yi Zhao, Yajuan Peng, Nguyen Cam-Tu et al.
What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers
Pulkit Gopalani, Wei Hu
Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification
Simone Azeglio, Olivier Marre, Peter Neri et al.
SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders
Zhuohao Yu, Xingru Jiang, Weizheng Gu et al.
Representation Consistency for Accurate and Coherent LLM Answer Aggregation
Junqi Jiang, Tom Bewley, Salim I. Amoukou et al.
Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
Daniel Cao, August Chen, Karthik Sridharan et al.
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
Linyang He, Tianjun Zhong, Richard Antonello et al.
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
Miruna Oprescu, David Park, Xihaier Luo et al.
TAI3: Testing Agent Integrity in Interpreting User Intent
Shiwei Feng, Xiangzhe Xu, Xuan Chen et al.
Generalizing while preserving monotonicity in comparison-based preference learning models
Julien Fageot, Peva Blanchard, Gilles Bareilles et al.
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
Zihao Fu, Ryan Brown, Shun Shao et al.
Panoptic Captioning: An Equivalence Bridge for Image and Text
Kun-Yu Lin, Hongjun Wang, Weining Ren et al.
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
Qingmei Li, Yang Zhang, Zurong Mai et al.
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke Brown et al.
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
Neurons as Detectors of Coherent Sets in Sensory Dynamics
Joshua L Pughe-Sanford, Xuehao Ding, Jason Moore et al.
SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
zhangkai wu, Xuhui Fan, Hongyu Wu et al.
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
Fanqi Yan, Huy Nguyen, Le Dung et al.
Impact of Layer Norm on Memorization and Generalization in Transformers
Rishi Singhal, Jung-Eun Kim
VideoCAD: A Dataset and Model for Learning Long‑Horizon 3D CAD UI Interactions from Video
King Yiu Brandon Man, Ghadi Nehme, Md Ferdous Alam et al.
A Sustainable AI Economy Needs Data Deals That Work for Generators
Ruoxi Jia, Luis Oala, Wenjie Xiong et al.
Oracle-Efficient Combinatorial Semi-Bandits
Jung-hun Kim, Milan Vojnovic, Min-hwan Oh
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
Leyang Hu, Matteo Gamba, Randall Balestriero
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
Truong Buu Phan, Ashish Khisti
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale et al.
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
Elena Zamaraeva, Christopher Collins, George Darling et al.
FIPER: Factorized Features for Robust Image Super-Resolution and Compression
Yang-Che Sun, Cheng-Yu Yeo, Ernie Chu et al.
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
Bo Li, Wei Wang, Peng Ye
Majority of the Bests: Improving Best-of-N via Bootstrapping
Amin Rakhsha, Kanika Madan, Tianyu Zhang et al.
A learnability analysis on neuro-symbolic learning
Hao-Yuan He, Ming LI
PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation
Wei Zhou, Guoliang Li, Haoyu Wang et al.
Thresholds for sensitive optimality and Blackwell optimality in stochastic games
Stephane Gaubert, Julien Grand-Clément, Ricardo Katz
Multitask Learning with Stochastic Interpolants
Hugo Negrel, Florentin Coeurdoux, Michael Albergo et al.
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi
QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
Yutong Wang, Haiyu Wang, Sai Qian Zhang
Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
Naoya Yamamoto, Juno Kim, Taiji Suzuki
FlashBias: Fast Computation of Attention with Bias
Haixu Wu, Minghao Guo, Yuezhou Ma et al.
Learning Generalizable Shape Completion with SIM(3) Equivariance
Yuqing Wang, Zhaiyu Chen, Xiaoxiang Zhu
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
Yiyi Liu, Chunyang Liu, Bohan Wang et al.
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
Mohan Zhang, Yihua Zhang, Jinghan Jia et al.
Sequential Multi-Agent Dynamic Algorithm Configuration
Chen Lu, Ke Xue, Lei Yuan et al.
Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting
Mohammad Abam, Davoud Kareshki, Marzieh Nilipour et al.
REOrdering Patches Improves Vision Models
Declan Kutscher, David Chan, Yutong Bai et al.
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
Shen Yuan, Yin Zheng, Taifeng Wang et al.
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
Xiaochuan Gong, Jie Hao, Mingrui Liu
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
Tianhao Chen, Xin Xu, Zijing Liu et al.
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
Sophia Han, Howard Dai, Stephen Xia et al.
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
Undral Byambadalai, Tomu Hirata, Tatsushi Oka et al.
Rethinking Approximate Gaussian Inference in Classification
Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig
ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design
Qijun Zhang, Yao Lu, Mengming Li et al.
Transferring Linear Features Across Language Models With Model Stitching
Alan Chen, Jack Merullo, Alessandro Stolfo et al.
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański et al.
THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
Wenchao Yang, Weidong Yan, Wenkang Liu et al.
GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation
Tao Liu, Chongyu Wang, Rongjie Li et al.
Efficient Large Language Model Inference with Neural Block Linearization
Mete Erdogan, Francesco Tonin, Volkan Cevher
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Andrea Della Vecchia, Arnaud Mavakala Watusadisi, Ernesto De Vito et al.
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
Wenlong Li, Yifei Xu, Yuan Rao et al.
Conditional Representation Learning for Customized Tasks
Honglin Liu, Chao Sun, Peng Hu et al.
CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering
Zhengqing Wang, Yuefan Wu, Jiacheng Chen et al.
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Pei Zhou, Wanting Yao, Qian Luo et al.
Scalable Valuation of Human Feedback through Provably Robust Model Alignment
Masahiro Fujisawa, Masaki Adachi, Michael A Osborne
StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
Qijun Luo, Mengqi Li, Lei Zhao et al.
ARIA: Training Language Agents with Intention-driven Reward Aggregation
Ruihan Yang, yikai zhang, Aili Chen et al.
When Can Model-Free Reinforcement Learning be Enough for Thinking?
Josiah Hanna, Nicholas Corrado
Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms
Alicia Zeng, Jack Gallant
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
Hancheng Min, Zhihui Zhu, Rene Vidal
Contextual Dynamic Pricing with Heterogeneous Buyers
Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor et al.
Contribution of task-irrelevant stimuli to drift of neural representations
Farhad Pashakhanloo
Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs
Amirmohammad Izadi, Mohammadali Banayeeanzade, Fatemeh Askari et al.
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang et al.
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu, Hao Miao, Guojiang Shen et al.
Dataset Distillation for Pre-Trained Self-Supervised Vision Models
George Cazenavette, Antonio Torralba, Vincent Sitzmann
Strategic Cost Selection in Participatory Budgeting
Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk et al.
Characterization and Learning of Causal Graphs from Hard Interventions
Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
Wenquan Lu, Jiaqi Zhang, Hugues Van Assel et al.
Simulating Society Requires Simulating Thought
Chance Jiajie Li, Jiayi Wu, Zhenze MO et al.
Inferring stochastic dynamics with growth from cross-sectional data
Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu et al.
IF-Guide: Influence Function-Guided Detoxification of LLMs
Zachary Coalson, Juhan Bae, Nicholas Carlini et al.
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
Xuheng Li, Quanquan Gu
SegMASt3R: Geometry Grounded Segment Matching
Rohit Jayanti, Swayam Agrawal, Vansh Garg et al.
Rotary Masked Autoencoders are Versatile Learners
Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi et al.
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
Efthymia Tsamoura, Kaifu Wang, Dan Roth
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
Ryotaro Kawata, Yujin Song, Alberto Bietti et al.
MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations
Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
Yuanchuan Guo, Jun Liu, Huimin Cheng et al.
SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models
HAOTIAN XU, Qingsong Peng, Jie Shi et al.
Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis
EDBench: Large-Scale Electron Density Data for Molecular Modeling
Hongxin Xiang, Ke Li, Mingquan Liu et al.
Evaluating Program Semantics Reasoning with Type Inference in System $F$
Yifeng He, Luning Yang, Christopher Gonzalo et al.
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
Hoang Pham, The Anh Ta, Tom Jacobs et al.
STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem
Hong Wang, Yixuan Jiang, Jie Wang et al.
Minimax Adaptive Online Nonparametric Regression over Besov spaces
Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
Hsiang Hsu, Pradeep Niroula, Zichang He et al.
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
Shulun Chen, Runlong Zhou, Zihan Zhang et al.
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
Junsheng Zhou, XingYu Shi, Haichuan Song et al.
Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
Leitian Tao, Xuefeng Du, Sharon Li
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Muquan Li, Hang Gou, Dongyang Zhang et al.
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
Changxin Ke, Rui Zhang, Shuo Wang et al.
GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification
Qiao Li, Jie Li, Yukang Zhang et al.
Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
Bowei Zhu, Shaojie Li, Mingyang Yi et al.
Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
Fangzhou Wu, Sandeep Silwal
Machine Unlearning under Overparameterization
Jacob Block, Aryan Mokhtari, Sanjay Shakkottai
Optimal kernel regression bounds under energy-bounded noise
Amon Lahr, Johannes Köhler, Anna Scampicchio et al.
DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
Yupu Zhang, Zelin Xu, Tingsong Xiao et al.
The third pillar of causal analysis? A measurement perspective on causal representations
Dingling Yao, Shimeng Huang, Riccardo Cadei et al.
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
Zelin Peng, Zhengqin Xu, Qingyang Liu et al.
Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains
Marianne Rakic, Siyu Gai, Etienne Chollet et al.
Attention-based clustering
Rodrigo Maulen Soto, Pierre Marion, Claire Boyer
Transductive Conformal Inference for Full Ranking
Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
Xinyu Luo, Kecheng Chen, Pao-Sheng Sun et al.
The Parameterized Complexity of Computing the VC-Dimension
Florent Foucaud, Harmender Gahlawat, Fionn Mc Inerney et al.
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Wei Chow, Yuan Gao, Linfeng Li et al.
Time-Embedded Algorithm Unrolling for Computational MRI
Junno Yun, Yasar Utku Alcalar, Mehmet Akcakaya