Most Cited NEURIPS "stability adapters" Papers

One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models

Viacheslav Surkov, Chris Wendler, Antonio Mari et al.

EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale

Yiheng Du, Aditi Krishnapriyan

SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path

Yichen Zhu, Weiyu Chen, James Kwok et al.

Fractional Diffusion Bridge Models

Gabriel Nobis, Maximilian Springenberg, Arina Belova et al.

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling

Yuxi Liu, Renjia Deng, Yutong He et al.

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Lifan Zhao, Yanyan Shen, Zhaoyang Liu et al.

Hybrid Latent Representations for PDE Emulation

Ali Can Bekar, Siddhant Agarwal, Christian Hüttig et al.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search

Vignav Ramesh, Morteza Mardani

Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs

Qi Kuang, Jiayi Wang, Fan Zhou et al.

DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer

Wentao Xu, Huiqiao Fu, Haoyu Dong et al.

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs

Jingyao Wang, Wenwen Qiang, Zeen Song et al.

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment

Chu Xu, Zhixin Zhang, Tianyu Jia et al.

Amortized Active Generation of Pareto Sets

Daniel Steinberg, Asiri Wijesinghe, Rafael Oliveira et al.

Conformal Prediction for Time-series Forecasting with Change Points

Sophia Sun, Rose Yu

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei, Mel White, Sina Alemohammad et al.

ComPO: Preference Alignment via Comparison Oracles

Peter Chen, Xi Chen, Wotao Yin et al.

Differentiable Constraint-Based Causal Discovery

Jincheng Zhou, Mengbo Wang, Anqi He et al.

State Size Independent Statistical Error Bound for Discrete Diffusion Models

Shintaro Wakasugi, Taiji Suzuki

Prompt Tuning Transformers for Data Memorization

Haiyu Wang, Yuanyuan Lin

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture

Maonan Wang, Yirong Chen, Aoyu Pang et al.

Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins

ZAIXI ZHANG, Ruofan Jin, Le Cong et al.

The Temporal Graph of Bitcoin Transactions

Vahid Jalili

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding

Zheyu Zhang, Ziqi Pang, Shixing Chen et al.

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia et al.

CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination

Yuena Lin, Hao Wei, Hai-Chun Cai et al.

Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm

Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale

James Michaelov, Roger Levy, Benjamin Bergen

A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias

WEI-KAI CHANG, Rajiv Khanna

StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations

Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.

Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding

Xiangyu Wen, Min Li, Junhua Huang et al.

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning

Xusheng Cao, Haori Lu, Linlan Huang et al.

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs

Xingang Guo, Yaxin Li, XiangYi Kong et al.

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster, Anya Sims, Johannes Forkel et al.

Instant4D: 4D Gaussian Splatting in Minutes

Zhanpeng Luo, Haoxi Ran, Li Lu

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Ziqiao Ma, Xuweiyi Chen, Shoubin Yu et al.

Probabilistic Reasoning with LLMs for Privacy Risk Estimation

Jonathan Zheng, Alan Ritter, Sauvik Das et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.

Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy

Xinlong Li, Di Lin, Shaoyiyi Gao et al.

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs

Xiyao Wang, Zhengyuan Yang, Chao Feng et al.

Efficient Rectified Flow for Image Fusion

Zirui Wang, Jiayi Zhang, Tianwei Guan et al.

Online Prediction with Limited Selectivity

Licheng Liu, Mingda Qiao

Uncertainty-Guided Exploration for Efficient AlphaZero Training

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong et al.

Real-World Reinforcement Learning of Active Perception Behaviors

Edward Hu, Jie Wang, Xingfang Yuan et al.

Computation and Memory-Efficient Model Compression with Gradient Reweighting

Zhiwei Li, Yuesen Liao, Binrui Wu et al.

Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization

Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan et al.

On the Role of Hidden States of Modern Hopfield Network in Transformer

CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding

Xianhan Tan, Binli Luo, Yu Qi et al.

OmniGen-AR: AutoRegressive Any-to-Image Generation

Junke Wang, Xun Wang, Qiushan Guo et al.

Monotone and Separable Set Functions: Characterizations and Neural Models

Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym et al.

HMVLM:Human Motion-Vision-Language Model via MoE LoRA

Lei Hu, Yongjing Ye, Shihong Xia

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.

Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting

Ruyi An, haicheng huang, Huangjie Zheng et al.

Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers

Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.

VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation

Sicheng Yang, Zhaohu Xing, Lei Zhu

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

Xueliang Zhao, Wei Wu, Jian Guan et al.

Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

Shixiang Liu

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations

David Burt, Renato Berlinghieri, Stephen Bates et al.

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach

Yuchen Wu, Edward Sun, Kaijie Zhu et al.

Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization

Yanhao Jia, Ji Xie, S Jivaganesh et al.

Knowledge Distillation of Uncertainty using Deep Latent Factor Model

Sehyun Park, Jongjin Lee, Yunseop Shin et al.

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

Yu Yao, Yiliao (Lia) Song, Yian Xie et al.

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG, Rajiv Khanna

CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

Gunho Park, Jeongin Bae, Byeongwook Kim et al.

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models

Jiajun Fan, Tong Wei, Chaoran Cheng et al.

Adaptive Data Analysis for Growing Data

Neil Marchant, Benjamin Rubinstein

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.

Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning

Wenyi Xiao, Leilei Gan

Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding

Yin Hang, Xiaomin He, Peiwen Yuan et al.

Towards 3D Objectness Learning in an Open World

Taichi Liu, Zhenyu Wang, Ruofeng Liu et al.

SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration

Elif Arslan, Jacobus van der Linden, Serge Hoogendoorn et al.

Optimal Online Change Detection via Random Fourier Features

Florian Kalinke, Shakeel Gavioli-Akilagun

Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data

Alvaro Correia, Christos Louizos

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Yige Li, Hanxun Huang, Yunhan Zhao et al.

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin, Killian Bakong, Kevin Scaman

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition

Parsa Rahimi, Damien Teney, Sébastien Marcel

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models

Haoyu Wang, Peihao Wang, Mufei Li et al.

Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks

Andrea Montanari, Pierfrancesco Urbani

3D Human Pose Estimation with Muscles

Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong et al.

Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking

Junhyuk So, Chiwoong Lee, Shinyoung Lee et al.

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement

Yinlin Zhu, Xunkai Li, Jishuo Jia et al.

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL

Tong Yang, Bo Dai, Lin Xiao et al.

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

Songjun Tu, Jiahao Lin, Qichao Zhang et al.

Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure

Ramin Akbari, Milad Afshari, Vishnu Boddeti

Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion

Xiaojian Ding, Lin Zhao, Xian Li et al.

Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information

Zecheng Wang, Chunshan Li, Yupeng Zhang et al.

Learning to Generate Human-Human-Object Interactions from Textual Descriptions

Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.

4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

Mengqi Guo, Bo Xu, Yanyan Li et al.

Low Precision Streaming PCA

Sanjoy Dasgupta, Syamantak Kumar, Shourya Pandey et al.

BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories

Wonjung Park, Suhyun Ahn, Maria Hernandez et al.

Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling

Yufan Li, Pragya Sur

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao, Zilong Huang, Jiashi Feng et al.

Learnable Sampler Distillation for Discrete Diffusion Models

Feiyang Fu, Tongxian Guo, Zhaoqiang Liu

FoGE: Fock Space inspired encoding for graph prompting

Takis Chytas, Rudrasis Chakraborty, Vikas Singh

Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors

Guangyi Zhang, Qiyu Liu, Aristides Gionis

Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation

Jiesong Liu, Xipeng Shen

Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization

Bo Ling, Zhengyu Gan, Wanyuan Wang et al.

On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models

Hoigi Seo, Dong Un Kang, Hyunjin Cho et al.

Robust Contextual Pricing

Anupam Gupta, Guru Guruganesh, Renato Leme et al.

AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians

Xiyu Zhang, Chong Bao, YiPeng Chen et al.

ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets

Bohdan Turbal, Iryna Voitsitska, Lesia Semenova

Dyn-O: Building Structured World Models with Object-Centric Representations

Zizhao Wang, Kaixin Wang, Li Zhao et al.

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models

Hafez Ghaemi, Eilif B. Muller, Shahab Bakhtiari

A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression

Giuseppe Castiglione, Christopher L Buckley, Ivor Simpson

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems

Roman Jacome, Romario Gualdrón-Hurtado, León Suárez-Rodríguez et al.

Robust and Computation-Aware Gaussian Processes

Enhancing CLIP Robustness via Cross-Modality Alignment

Xingyu Zhu, Beier Zhu, Shuo Wang et al.

Test Time Scaling for Neural Processes

Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.

Compact Memory for Continual Logistic Regression

Yohan Jung, Hyungi Lee, Wenlong Chen et al.

Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation

Chaeyun Jang, Deukhwan Cho, Seanie Lee et al.

Procurement Auctions with Predictions: Improved Frugality for Facility Location

Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis et al.

UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations

Elena Celledoni, Brynjulf Owren, Chong Shen et al.

Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling

Chenghao Xu, guangtao lyu, Jiexi Yan et al.

CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization

Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.

OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration

Guancheng Wan, Jiaru Qian, Wenke Huang et al.

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Kevin Wang, Ishaan Javali, Michał Bortkiewicz et al.

On Traceability in $\ell_p$ Stochastic Convex Optimization

Sasha Voitovych, Mahdi Haghifam, Idan Attias et al.

TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields

Alan Arazi, Eilam Shapira, Roi Reichart

Fully Spiking Neural Networks for Unified Frame-Event Object Tracking

Jingjun Yang, Liangwei Fan, Jinpu Zhang et al.

Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis

Tony Yousefnezhad

A Counterfactual Semantics for Hybrid Dynamical Systems

Andy Zane, Dmitry Batenkov, Rafal Urbaniak et al.

UniViT: Unifying Image and Video Understanding in One Vision Encoder

feilong tang, xiangan, Haolin Yang et al.

Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations

Shixin Li, Zewei Li, Xiaojing Ma et al.

FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training

Xinxin You, Qixin Sun, Chenwei Yan et al.

Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP

Shohei Ohsawa

Online Learning in the Repeated Mediated Newsvendor Problem

Nataša Bolić, Tom Cesari, Roberto Colomboni et al.

Neural Fractional Attention Differential Equations

Qiyu Kang, Wenjun Cui, Xuhao Li et al.

A Gradient Guided Diffusion Framework for Chance Constrained Programming

Boyang Zhang, Zhiguo Wang, Ya-Feng Liu

A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection

Gaku Morio, Harri Rowlands, Dominik Stammbach et al.

NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis

Shengrong Li, Qi Zhu, Chunwei Tian et al.

Learning Parameterized Skills from Demonstrations

Vedant Gupta, Haotian Fu, Calvin Luo et al.

Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning

Yuxuan Zhou, Xien Liu, Xiao Zhang et al.

Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning

Fei Ye, Yulong Zhao, Qihe Liu et al.

Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy

David Dang, Myoung-Gyun Suh, Maodong Gao et al.

ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos

Shi Chen, Erik Sandström, Sandro Lombardi et al.

Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards

Kyungjae Lee, Dohyeong Kim, Taehyun Cho et al.

Sparse Optimistic Information Directed Sampling

Ludovic Schwartz, Hamish Flynn, Gergely Neu

Versatile Transferable Unlearnable Example Generator

Zhihao Li, Jiale Cai, Gezheng Xu et al.

SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization

Tongtong Su, Yun Liao, Fengbo Zheng

GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data

Lubin Bai, Xiuyuan Zhang, Siqi Zhang et al.

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search

Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao et al.

Memory-Efficient Training with In-Place FFT Implementation

XINYU DING, Bangtian Liu, Siyu Liao et al.

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks

Ann Huang, Satpreet Harcharan Singh, Flavio Martinelli et al.

A-Mem: Agentic Memory for LLM Agents

Wujiang Xu, Zujie Liang, Kai Mei et al.

Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations

Marton Havasi, Brian Karrer, Itai Gat et al.

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning

Hongyi Zhou, Weiran Liao, Xi Huang et al.

Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations

Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys et al.

PlanU: Large Language Model Reasoning through Planning under Uncertainty

Ziwei Deng, Mian Deng, Chenjing Liang et al.

HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance

JUE GONG, Tingyu Yang, Jingkai Wang et al.

SpectraLDS: Provable Distillation for Linear Dynamical Systems

Devan Shah, Shlomo Fortgang, Sofiia Druchyna et al.

Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets

Shaocong Ma, Heng Huang

Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion

Xi Zhang, Yanyi Li, Yisi Luo et al.

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering

Qiwen Gu, Xufei Wang, Junqiao Zhao et al.

Learning from Delayed Feedback in Games via Extra Prediction

Yuma Fujimoto, Kenshi Abe, Kaito Ariu

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy et al.

MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE

Zongle Huang, Lei Zhu, ZongYuan Zhan et al.

Automated Model Discovery via Multi-modal & Multi-step Pipeline

Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin et al.

Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning

Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.

LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search

Pengyi Li, Hongyao Tang, Jinbin Qiao et al.

Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs

Jun Wang, Liang Ding, Shuai Wang et al.

Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework

Chenghu Du, Shengwu Xiong, junyin Wang et al.

Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs

Jiandong Shao, Yao Lu, Jianfei Yang

Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems

Jingwen Cheng, Ruikun Li, Huandong Wang et al.

Non-Stationary Structural Causal Bandits

Yeahoon Kwon, Yesong Choe, Soungmin Park et al.

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent

Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.

Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers

Thomas Klein, Sascha Meyen, Wieland Brendel et al.

Learning Expandable and Adaptable Representations for Continual Learning

Ruilong Yu, Mingyan Liu, Fei Ye et al.

Bio-Inspired Image Restoration

Yuning Cui, Wenqi Ren, Alois Knoll

Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization

Huimin Han, Shaolin Ji

How Well Can Differential Privacy Be Audited in One Run?

Amit Keinan, Moshe Shenfeld, Katrina Ligett

Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning

Jie Cheng, Gang Xiong, Ruixi Qiao et al.

What Expressivity Theory Misses: Message Passing Complexity for GNNs

Niklas Kemper, Tom Wollschläger, Stephan Günnemann

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions

Wenyuan Zhao, Adithya Balachandran, Chao Tian et al.

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.

Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts

Siyang Jiang, Rui Fang, Hsi-Wen Chen et al.

Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup

Sibo Tian, Xin Wang, Zeyang Zhang et al.

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Changyeol Lee, Yongho Shin, Hyung-Chan An

Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

jusheng zhang, Yijia Fan, Zimo Wen et al.

Rao-Blackwellised Reparameterisation Gradients

Kevin H. Lam, Thang Bui, George Deligiannidis et al.

A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input

Bar Mahpud, Or Sheffet

Optimal Mistake Bounds for Transductive Online Learning

Zachary Chase, Steve Hanneke, Shay Moran et al.

Activated LoRA: Fine-tuned LLMs for Intrinsics

Kristjan Greenewald, Luis Lastras, Thomas Parnell et al.

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification

Xixi Wan, AIHUA ZHENG, Bo Jiang et al.

Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve

Jingxuan Wang, Zhongke Wu, Wang et al.

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands

Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou et al.

Fairness-aware Bayes Optimal Functional Classification

Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang, Yejin Kim, Minyoung Lee et al.

Knee-Deep in C-RASP: A Transformer Depth Hierarchy

Andy J Yang, Michaël Cadilhac, David Chiang

Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias

Xinyan Liang, Shuai Li, Qian Guo et al.

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness

Zhuoqun Huang, Neil Marchant, Olga Ohrimenko et al.

Graph Alignment via Birkhoff Relaxation

Sushil Varma, Irène Waldspurger, Laurent Massoulié

Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning

Alex Su, Haozhe Wang, Weiming Ren et al.

Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion

Shaowei Liu, David Yao, Saurabh Gupta et al.

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization

Honglin Li, Zhongyi Shui, Yunlong Zhang et al.

Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks

Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.