Most Cited 2025 "exchangeability assumption" Papers

Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport

Lvmin Zhang, Anyi Rao, Maneesh Agrawala

Identifying latent state transitions in non-linear dynamical systems

Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge et al.

Selective Task Group Updates for Multi-Task Optimization

Wooseong Jeong, Kuk-Jin Yoon

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation

Xingchen Wan, Han Zhou, Ruoxi Sun et al.

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency

Zongxin Liu, Zhe Zhao, Fu Song et al.

PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

Satoki Ishikawa, Makoto Yamada, Han Bao et al.

Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning

Gyoung S. Na, Chanyoung Park

Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning

Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi et al.

Linear Recurrences Accessible to Everyone

Felix Sarnthein

Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations

Julius Aka, Johannes Brunnemann, Jörg Eiden et al.

More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing

Sagi Shaier, Francisco Pereira, Katharina Kann et al.

Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models

Tianqi Chen, Shujian Zhang, Mingyuan Zhou

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint

Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty et al.

Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks

Manohar Kaul, Aditya Saibewar, Sadbhavana Babar

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs

Linbao Li, Yannan Liu, Daojing He et al.

Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

Chunming He, Chengyu Fang, Yulun Zhang et al.

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher

Yong Guo, Shulian Zhang, Haolin Pan et al.

A Unified Theory of Quantum Neural Network Loss Landscapes

Eric Anschuetz

Improved Sampling Algorithms for Lévy-Itô Diffusion Models

Vadim Popov, Assel Yermekova, Tasnima Sadekova et al.

Counterfactual Realizability

Arvind Raghavan, Elias Bareinboim

Variance-Reducing Couplings for Random Features

Isaac Reid, Stratis Markou, Krzysztof Choromanski et al.

Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces

Saket Tiwari, Omer Gottesman, George D Konidaris

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

Pengcheng Jiang, Cao (Danica) Xiao, Minhao Jiang et al.

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy et al.

Learning to Discover Regulatory Elements for Gene Expression Prediction

Xingyu Su, Haiyang Yu, Degui Zhi et al.

FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning

Woosung Koh, Wonbeen Oh, Siyeol Kim et al.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics

Keyi Shen, Jiangwei Yu, Jose Barreiros et al.

Regularization by Texts for Latent Diffusion Inverse Solvers

Jeongsol Kim, Geon Yeong Park, Hyungjin Chung et al.

Partial Gromov-Wasserstein Metric

Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli et al.

Demystifying the Token Dynamics of Deep Selective State Space Models

Thieu Vo, Duy-Tung Pham, Xin Tong et al.

Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision

Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt

MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures

Anvith Thudi, Chris Maddison

Improving Unsupervised Constituency Parsing via Maximizing Semantic Information

Junjie Chen, Xiangheng He, Yusuke Miyao et al.

Efficient Top-m Data Values Identification for Data Selection

Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.

Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models

Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa et al.

HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction

Weihuang Wen, Tianshu Yu

M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model

Kehan Wen, Yutong Hu, Yao Mu et al.

Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning

Charlie Snell, Jaehoon Lee, Kelvin Xu et al.

Intermediate Layer Classifiers for OOD generalization

Arnas Uselis, Seong Joon Oh

A Curious Case of the Missing Measure: Better Scores and Worse Generation

Joseph Turian, Jordie Shier

ViSAGe: Video-to-Spatial Audio Generation

Jaeyeon Kim, Heeseung Yun, Gunhee Kim

Deep Kernel Posterior Learning under Infinite Variance Prior Weights

Jorge Loría, Anindya Bhadra

Privacy Auditing of Large Language Models

Ashwinee Panda, Xinyu Tang, Christopher Choquette-Choo et al.

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

Enshu Liu, Xuefei Ning, Yu Wang et al.

PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos

Alex N. Wang, Christopher Hoang, Yuwen Xiong et al.

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models

Junda Wu, Xintong Li, Ruoyu Wang et al.

Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Xuandong Zhao, Lei Li, Yu-Xiang Wang

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator

xin zhang, Jiawei Du, Ping Liu et al.

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Fangyu Lei, Jixuan Chen, Yuxiao Ye et al.

How do we interpret the outputs of a neural network trained on classification?

Yudi Xie

ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS

Sujoy Bhore, Devdan Dey, Satyam Singh

Counterfactual Concept Bottleneck Models

Gabriele Dominici, Pietro Barbiero, Francesco Giannini et al.

Predicate Hierarchies Improve Few-Shot State Classification

Emily Jin, Joy Hsu, Jiajun Wu

Towards Neural Scaling Laws for Time Series Foundation Models

Qingren Yao, Chao-Han Huck Yang, Renhe Jiang et al.

On the Modeling Capabilities of Large Language Models for Sequential Decision Making

Martin Klissarov, R Devon Hjelm, Alexander Toshev et al.

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency

Qixin ZHANG, Zongqi Wan, Yu Yang et al.

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models

Xu-Hui Liu, Yali Du, Jun Wang et al.

Multi-modal Learning: A Look Back and the Road Ahead

Divyam Madaan, Sumit Chopra, Kyunghyun Cho

Correlation and Navigation in the Vocabulary Key Representation Space of Language Models

Letian Peng, Chenyang An, Jingbo Shang

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch

caigao jiang, Xiang Shu, Hong Qian et al.

SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization

Hong Qian, Yiyi Zhu, Xiang Shu et al.

Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness

Haixin Zhong, Haoyu Wang, Wei Dai et al.

Learning Partial Graph Matching via Optimal Partial Transport

Gathika Ratnayaka, James Nichols, Qing Wang

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning

Xinyue Wang, Biwei Huang

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models

Qiushi Huang, Tom Ko, Zhan ZHUANG et al.

Sharpness-Aware Black-Box Optimization

Feiyang YE, YUEMING LYU, Xuehao Wang et al.

Better Instruction-Following Through Minimum Bayes Risk

Ian Wu, Patrick Fernandes, Amanda Bertsch et al.

Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization

Hansi Yang, James Kwok

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs

Yu-Zhe Shi, Mingchen Liu, Fanxu Meng et al.

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Alireza Mousavi-Hosseini, Denny Wu, Murat A Erdogdu

Sensitivity-Aware Amortized Bayesian Inference

Lasse Elsemüller, Hans Olischläger, Marvin Schmitt et al.

Why In-Context Learning Models are Good Few-Shot Learners?

Shiguang Wu, Yaqing Wang, Quanming Yao

Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion

Xingqun Qi, Yatian Wang, Hengyuan Zhang et al.

Latent Action Pretraining from Videos

Seonghyeon Ye, Joel Jang, Byeongguk Jeon et al.

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries

Hang Chen, Chufeng Tang, Xiao Li et al.

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models

Chuan Liu, Chunshu Wu, shihui cao et al.

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision

Mateusz Pach, Koryna Lewandowska, Jacek Tabor et al.

FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware

Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL

Cevahir Koprulu, Franck Djeumou, ufuk topcu

Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets

Xu Wang, Fuyou Miao, Wenjie Liu et al.

Provable Uncertainty Decomposition via Higher-Order Calibration

Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan et al.

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Dongyoung Kim, Kimin Lee, Jinwoo Shin et al.

Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition

Yufan Hu, Jiang, Wuyang Li et al.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

Tuan Truong, Rithwik Sudharsan, Yibo Yang et al.

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Jaehong Yoon, Shoubin Yu, Vaidehi Ramesh Patil et al.

Following the Human Thread in Social Navigation

Luca Scofano, Alessio Sampieri, Tommaso Campari et al.

Population Transformer: Learning Population-level Representations of Neural Activity

Geeling Chau, Christopher Wang, Sabera Talukder et al.

PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans

Giang Nguyen, Valerie Chen, Mohammad Reza Taesiri et al.

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation

Beining Yang, Qingyun Sun, Cheng Ji et al.

Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Han-Hung Lee, Yiming Zhang, Angel Chang

Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?

Charles Dawson, Van Tran, Max Li et al.

FairDen: Fair Density-Based Clustering

Lena Krieger, Anna Beer, Pernille Matthews et al.

Discrete Copula Diffusion

Anji Liu, Oliver Broadrick, Mathias Niepert et al.

Learn hybrid prototypes for multivariate time series anomaly detection

Ke-Yuan Shen

Transformer Block Coupling and its Correlation with Generalization in LLMs

Murdock Aubry, Haoming Meng, Anton Sugolov et al.

Aligned LLMs Are Not Aligned Browser Agents

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar et al.

Sensitivity Verification for Additive Decision Tree Ensembles

Arhaan Ahmad, Tanay Tayal, Ashutosh Gupta et al.

An Undetectable Watermark for Generative Image Models

Samuel Gunn, Xuandong Zhao, Dawn Song

Differentiable Causal Discovery for Latent Hierarchical Causal Models

Parjanya Prashant, Ignavier Ng, Kun Zhang et al.

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees

Yingzhen Yang, Ping Li

Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics

Alberto Pepe, Mattia Montanari, Joan Lasenby

Problem-Parameter-Free Federated Learning

Wenjing Yan, Kai Zhang, Xiaolu Wang et al.

Progressive distillation induces an implicit curriculum

Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi et al.

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Sanjiban Choudhury, Paloma Sodhi

Self-Improving Robust Preference Optimization

Eugene Choi, Arash Ahmadian, Matthieu Geist et al.

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Shengjie Ma, Chengjin Xu, Xuhui Jiang et al.

Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization

Zeou Hu, Yaoliang Yu

On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions

Omer Madmon, Idan Pipano, Itamar Jacob Reinman et al.

ToolGen: Unified Tool Retrieval and Calling via Generation

Renxi Wang, Xudong Han, Lei Ji et al.

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

Najwa Laabid, Severi Rissanen, Markus Heinonen et al.

Towards a Complete Logical Framework for GNN Expressiveness

Tuo Xu

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Zachary Ankner, Cody Blakeney, Kartik Sreenivasan et al.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

Yushu Li, Yongyi Su, Adam Goodge et al.

Matérn Kernels for Tunable Implicit Surface Reconstruction

Maximilian Weiherer, Bernhard Egger

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics

Zaige Fei, Fan Xu, Junyuan Mao et al.

CameraCtrl: Enabling Camera Control for Video Diffusion Models

Hao He, Yinghao Xu, Yuwei Guo et al.

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Botao Ye, Sifei Liu, Haofei Xu et al.

MotionClone: Training-Free Motion Cloning for Controllable Video Generation

Pengyang Ling, Jiazi Bu, Pan Zhang et al.

Cluster-guided Contrastive Class-imbalanced Graph Classification

Wei Ju, Zhengyang Mao, Siyu Yi et al.

ACES: Automatic Cohort Extraction System for Event-Stream Datasets

Justin Xu, Jack Gallifant, ALISTAIR JOHNSON et al.

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models

Aniruddha Kembhavi, Mohit Bansal, Amita Kamath et al.

See It from My Perspective: How Language Affects Cultural Bias in Image Understanding

Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal et al.

Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression

Amit Chakrabarti, Jeffrey Jiang, David Woodruff et al.

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL

Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin et al.

Coreset Spectral Clustering

Ben Jourdan, Gregory Schwartzman, Peter Macgregor et al.

Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods

Buelent Uendes, Shujian Yu, Mark Hoogendoorn

Learning Continually by Spectral Regularization

Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar et al.

MGDA Converges under Generalized Smoothness, Provably

Qi Zhang, Peiyao Xiao, Shaofeng Zou et al.

Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations

David Dalton, Alan Lazarus, Hao Gao et al.

Bayesian Regularization of Latent Representation

Chukwudi Paul Obite, Zhi Chang, Keyan Wu et al.

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors

Chen Ma, Xinjie Xu, Shuyu Cheng et al.

DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.

Ke Wang, Shay B Cohen

Open-Source vs Close-Source: The Context Utilization Challenge

Litu Ou

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling

Louis Bradshaw, Simon Colton

Variational Bayesian Pseudo-Coreset

Hyungi Lee, Seungyoo Lee, Juho Lee

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML

Ryan McKenna

BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis

Tiankuo Chu, Fudong Lin, Shubo Wang et al.

ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation

Ze Yang, Shichao Dong, Ruibo Li et al.

Flow With What You Know

Scott Hawley

Difference-of-submodular Bregman Divergence

Masanari Kimura, Takahiro Kawashima, Tasuku Soma et al.

Differential learning kinetics govern the transition from memorization to generalization during in-context learning

Alex Nguyen, Gautam Reddy Nallamala

GameGen-X: Interactive Open-world Game Video Generation

Haoxuan Che, Xuanhua He, Quande Liu et al.

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Shijie Chen, Bernal Jimenez Gutierrez, Yu Su

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design

Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny et al.

Meta-Dynamical State Space Models for Integrative Neural Data Analysis

Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control

Devdhar Patel, Hava Siegelmann

Large Scale Knowledge Washing

Yu Wang, Ruihan Wu, Zexue He et al.

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features

Feng Ji, Yanan Zhao, KAI ZHAO et al.

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models

Tanqiu Jiang, Changjiang Li, Fenglong Ma et al.

Modeling dynamic social vision highlights gaps between deep learning and humans

Kathy Garcia, Emalie McMahon, Colin Conwell et al.

MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling

Rachel Teo, Tan Nguyen

Transformer Meets Twicing: Harnessing Unattended Residual Information

Laziz Abdullaev, Tan Nguyen

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression

Hengzhe Zhang, Qi Chen, Bing XUE et al.

Inverse Attention Agents for Multi-Agent Systems

Qian Long, Ruoyan Li, Minglu Zhao et al.

SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation

Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization

Jianting Yang, Srecko Durasinovic, Jean Bernard Lasserre et al.

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh et al.

AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies

Jian Gao, Weidong Cao, Junyi Yang et al.

The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD

Milad Nasr, Thomas Steinke, Borja Balle et al.

Near-Exact Privacy Amplification for Matrix Mechanisms

Christopher Choquette-Choo, Arun Ganesh, Saminul Haque et al.

Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning

Dingrong Wang, Krishna Neupane, Ervine Zheng et al.

TopoLM: brain-like spatio-functional organization in a topographic language model

Neil Rathi, Johannes Mehrer, Badr AlKhamissi et al.

SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning

Lun Huang, Qiang Qiu, Guillermo Sapiro

Large Convolutional Model Tuning via Filter Subspace

Wei Chen, Zichen Miao, Qiang Qiu

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization

Yuxin Jiang, Bo Huang, Yufei Wang et al.

DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle

Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen et al.

Tailoring Mixup to Data for Calibration

Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc

On Evaluating the Durability of Safeguards for Open-Weight LLMs

Xiangyu Qi, Boyi Wei, Nicholas Carlini et al.

LeanVec: Searching vectors faster by making them fit

Ishwar Bhati, Cecilia Aguerrebere, Mark Hildebrand et al.

Efficient Dictionary Learning with Switch Sparse Autoencoders

Anish Mudide, Josh Engels, Eric Michaud et al.

Rationalizing and Augmenting Dynamic Graph Neural Networks

Guibin Zhang, Yiyan Qi, Ziyang Cheng et al.

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Chongjie Si, Xuehui Wang, Xue Yang et al.

Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching

Lile Cai, Chuan Sheng Foo, Xun Xu et al.

Policy Design in Long-run Welfare Dynamics

Jiduan Wu, Rediet Abebe, Moritz Hardt et al.

SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION

Jingxuan Chen, Derek Yuen, Bin Xie et al.

Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators

Bin Lu, Xinyu Xiao, Changzhou Zhang et al.

DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance

Liang Sun, Yang Zhang, Weizhao He et al.

SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding

Zhenyu Yang, Yuhang Hu, Zemin Du et al.

Spherical Tree-Sliced Wasserstein Distance

Viet-Hoang Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat et al.

Disentangled Representation Learning with the Gromov-Monge Gap

Théo Uscidda, Luca Eyring, Karsten Roth et al.

Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization

guangtao lyu, Chenghao Xu, Jiexi Yan et al.

Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training

Boyu Liu, Haoyu Huang, Linlin Yang et al.

Regularizing Energy among Training Samples for Out-of-Distribution Generalization

Yiting Chen, Qitian Wu, Junchi Yan

To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions

Noah Marshall, Ke Liang Xiao, Atish Agarwala et al.

Locality Alignment Improves Vision-Language Models

Ian Covert, Tony Sun, James Y Zou et al.

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts

Huy Nguyen, Pedram Akbarian Saravi, Trang Pham et al.

Prompting Fairness: Integrating Causality to Debias Large Language Models

Jingling Li, Zeyu Tang, Xiaoyu Liu et al.

Dynamic Negative Guidance of Diffusion Models

Felix Koulischer, Johannes Deleu, Gabriel Raya et al.

Bilinear MLPs enable weight-based mechanistic interpretability

Michael Pearce, Thomas Dooms, Alice Rigg et al.

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization

Wenkai Yang, Shiqi Shen, Guangyao Shen et al.

Training-Free Diffusion Model Alignment with Sampling Demons

Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen

LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu et al.

Self-Normalized Resets for Plasticity in Continual Learning

Vivek Farias, Adam Jozefiak

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization

Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

Training on the Test Task Confounds Evaluation and Emergence

Ricardo Dominguez-Olmedo, Florian Eddie Dorner, Moritz Hardt

COME: Test-time Adaption by Conservatively Minimizing Entropy

Qingyang Zhang, Yatao Bian, Xinke Kong et al.

Oracle efficient truncated statistics

Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos

SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation

Mingjie Li, Wai Man Si, Michael Backes et al.

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback

Michelle Zhao, Henny Admoni, Reid Simmons et al.