Most Cited 2025 "profile-guided optimization" Papers

Geometric Hyena Networks for Large-scale Equivariant Learning

Artem Moskalev, Mangal Prakash, Junjie Xu et al.

Low-Rank Adapting Models for Sparse Autoencoders

Matthew Chen, Josh Engels, Max Tegmark

How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding

Zhuoran Yu, Yong Jae Lee

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Wanyun Xie, Francesco Tonin, Volkan Cevher

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates

Baozhen Wang, Xingye Qiao

Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners

Hung Manh Pham, Aaqib Saeed, Dong Ma

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models

Yao Shu, Wenyang Hu, See-Kiong Ng et al.

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning

Naheed Anjum Arafat, Debabrota Basu, Yulia Gel et al.

R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts

Zhongyang Li, Ziyue Li, Tianyi Zhou

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective

Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.

Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations

Kexuan Shi, Hai Chen, Leheng Zhang et al.

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests

Kristin Blesch, Niklas Koenen, Jan Kapar et al.

Rethinking Time Encoding via Learnable Transformation Functions

Xi Chen, Yateng Tang, Jiarong Xu et al.

Model-Agnostic Policy Explanations with Large Language Models

Zhang Xi-Jia, Yue Guo, Shufei Chen et al.

SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanchun He et al.

DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data

Jiaqi Yang, Enming Liang, Zicheng Su et al.

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport

Khai Nguyen, Hai Nguyen, Tuan Pham et al.

Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies

Hyunchai Jeong, Adiba Ejaz, Jin Tian et al.

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models

Yupeng Chen, Penglin Chen, Xiaoyu Zhang et al.

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors

Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang

Probabilistic Shielding for Safe Reinforcement Learning

Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall

A Similarity Paradigm Through Textual Regularization Without Forgetting

Fangming Cui, Jan Fong, Rongfei Zeng et al.

LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing

Ruisi Cai, Saurav Muralidharan, Hongxu Yin et al.

Relational Neurosymbolic Markov Models

Lennert De Smet, Gabriele Venturato, Luc De Raedt et al.

TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction

Shi Yin, Xinyang Pan, fengyan wang et al.

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.

WEPO: Web Element Preference Optimization for LLM-based Web Navigation

Jiarun Liu, Jia Hao, Chunhong Zhang et al.

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo et al.

Pilot: Building the Federated Multimodal Instruction Tuning Framework

Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems

Joshua Holder, Natasha Jaques, Mehran Mesbahi

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation

Jinda Xu, Yuhao Song, Daming Wang et al.

SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning

Jun Feng, Yuzhe Lai, Hong Sun et al.

MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines

Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao

Universality of Real Minimal Complexity Reservoir

Robert Simon Fong, Boyu Li, Peter Tino

On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms

Ekaterina Borodich, Alexander Gasnikov, Dmitry Kovalev

Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning

En Fu, Yanyan Hu

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

Ulzee An, Moonseong Jeong, Simon Lee et al.

Out-of-Distribution Detection with Prototypical Outlier Proxy

Mingrong Gong, Chaoqi Chen, Qingqiang Sun et al.

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation

Wenwen Gong, Yangliao Geng, Dan Zhang et al.

Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF

Nuoya Xiong, Aarti Singh

Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents

Jessica Woodgate, Paul Marshall, Nirav Ajmeri

Revisiting Interpolation for Noisy Label Correction

Yuanzhuo Xu, Xiaoguang Niu, Jie Yang et al.

The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training

Matteo Saponati, Pascal J. Sager, Pau Vilimelis Aceituno et al.

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation

Weinan He, Zilei Wang, Yixin Zhang

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis

Guochen Yan, Luyuan Xie, Xinyi Gao et al.

DeepSN: A Sheaf Neural Framework for Influence Maximization

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

Generalization Analysis for Deep Contrastive Representation Learning

Nong Minh Hieu, Antoine Ledent, Yunwen Lei et al.

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu 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.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined

Shizhe Hu, Binyan Tian, Weibo Liu et al.

Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research

Patrik Reizinger, Randall Balestriero, David Klindt et al.

PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning

Chengxiang Huang, Bingyan Liu

SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training

Nie Lin, Takehiko Ohkawa, Yifei Huang et al.

SAIL: Sample-Centric In-Context Learning for Document Information Extraction

Jinyu Zhang, Zhiyuan You, Jize Wang et al.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network

Dario Coscia, Max Welling, Nicola Demo et al.

PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks

Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park et al.

Backdoor Attack on Propagation-based Rumor Detectors

Di Jin, Yujun Zhang, Bingdao Feng et al.

Semi-Supervised Online Cross-Modal Hashing

Xiao Kang, Xingbo Liu, Xuening Zhang et al.

Reinforcement Learning for Quantum Control under Physical Constraints

Jan Ole Ernst, Aniket Chatterjee, Tim Franzmeyer et al.

Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks

Yijiong Yu, Yongfeng Huang, Zhixiao Qi et al.

To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation

Jungkyu Kim, Kibok Lee, Taeyoung Park

From Logits to Hierarchies: Hierarchical Clustering made Simple

Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser et al.

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives

Elliot Meyerson, Xin Qiu

Partially Observable Reinforcement Learning with Memory Traces

Onno Eberhard, Michael Muehlebach, Claire Vernade

Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting

Sunny Sanyal, Hayden Prairie, Rudrajit Das et al.

SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor

Chenyu Yang, Shuai Wang, Hangting Chen et al.

Zero-Shot Offline Imitation Learning via Optimal Transport

Thomas Rupf, Marco Bagatella, Nico Gürtler et al.

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control

Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang et al.

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Abhijeet Mulgund, Chirag Pabbaraju

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models

Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny et al.

Hypo3D: Exploring Hypothetical Reasoning in 3D

Ye Mao, Weixun Luo, Junpeng Jing et al.

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning

Armin Behnamnia, Gholamali Aminian, Alireza Aghaei et al.

k-HyperEdge Medoids for Clustering Ensemble

Feijiang Li, Jieting Wang, Liuya Zhang et al.

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning

Linhao Li, Yongzhang Tan, Siyuan Yang et al.

Solving Multiagent Path Finding on Highly Centralized Networks

Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.

Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding

Yueqian Wang, Xiaojun Meng, Yuxuan Wang et al.

Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval

Wenrui Li, Wei Han, Yandu Chen et al.

GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code

Samidha Verma, Arushi Goyal, Ananya Mathur et al.

AgentMixer: Multi-Agent Correlated Policy Factorization

Zhiyuan Li, Wenshuai Zhao, Lijun Wu et al.

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics

Letian Chen, Nina Moorman, Matthew Gombolay

Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising

Zikuan Li, Qiaoyun Wu, Jialin Zhang et al.

ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior

Zhongweiyang Xu, Xulin Fan, Zhong-Qiu Wang et al.

Towards Scalable and Deep Graph Neural Networks via Noise Masking

Yuxuan Liang, Wentao Zhang, Zeang Sheng et al.

Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space

Max van Spengler, Pascal Mettes

Trajectory World Models for Heterogeneous Environments

Shaofeng Yin, Jialong Wu, Siqiao Huang et al.

Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition

Jielong Tang, Zhenxing Wang, ZiYang Gong et al.

Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes

Jesse He, Helen Jenne, Herman Chau et al.

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language

Zhaoyue Sun, Jiazheng Li, Gabriele Pergola et al.

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques

Junhao Liu, Xin Zhang

Enhancing Portuguese Variety Identification with Cross-Domain Approaches

Hugo Sousa, Rúben Almeida, Purificação Silvano et al.

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries

Pengwei Liu, Pengkai Wang, Xingyu Ren et al.

Position: AI Scaling: From Up to Down and Out

Yunke Wang, Yanxi Li, Chang Xu

Visual Reinforcement Learning with Residual Action

Zhenxian Liu, Peixi Peng, Yonghong Tian

Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection

Libo Qin, Qiguang Chen, Jingxuan Zhou et al.

Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders

Jinghui Qin, Changsong Liu, Tianchi Tang et al.

Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound

David Boetius, Stefan Leue, Tobias Sutter

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

Weigang Lu, Ziyu Guan, Wei Zhao et al.

Point-Level Topological Representation Learning on Point Clouds

Vincent P. Grande, Michael Schaub

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning

Shiwei Li, Xiandi Luo, Haozhao Wang et al.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Samir Khaki, Xiuyu Li, Junxian Guo et al.

Position: Lifetime tuning is incompatible with continual reinforcement learning

Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina et al.

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model

Huan Ma, Yan Zhu, Changqing Zhang et al.

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing

Yaohui Ma, Xiaopeng Hong, Shizhou Zhang et al.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Yihao Xue, Jiping Li, Baharan Mirzasoleiman

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting

Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo et al.

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces

Loris Gaven, Thomas Carta, Clément Romac et al.

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease

Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.

Improving the Statistical Efficiency of Cross-Conformal Prediction

Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization

Nobuo Namura, Sho Takemori

Conformal Prediction as Bayesian Quadrature

Jake Snell, Thomas Griffiths

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks

Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.

Benchmarking and Understanding Compositional Relational Reasoning of LLMs

Ruikang Ni, Da Xiao, Qingye Meng et al.

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis

YongKyung Oh, Dong-Young Lim, Sungil Kim

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions

Youngmin Oh, Hyunju Lee, Bumsub Ham

TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation

Gwen Yidou-Weng, Benjie Wang, Guy Van den Broeck

Covered Forest: Fine-grained generalization analysis of graph neural networks

Antonis Vasileiou, Ben Finkelshtein, Floris Geerts et al.

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

Weiran Pan, Wei Wei, Feida Zhu et al.

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning

Run He, Di Fang, Yicheng Xu et al.

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning

Tianhao Peng, Xuhong Li, Haitao Yuan et al.

Enhancing SQL Query Generation with Neurosymbolic Reasoning

Henrijs Princis, Cristina David, Alan Mycroft

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference

Stefano Cortinovis, Francois Caron

Enhancing Masked Time-Series Modeling via Dropping Patches

Tianyu Qiu, Yi Xie, Hao Niu et al.

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.

Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification

Flavio Petruzzellis, Cristina Cornelio, Pietro Lió

Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings

Minh Hieu Nong, Antoine Ledent

Measuring Diversity: Axioms and Challenges

Mikhail Mironov, Liudmila Prokhorenkova

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization

Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks

Laines Schmalwasser, Niklas Penzel, Joachim Denzler et al.

Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression

Benjamin Eyre, David Madras

Delay as Payoff in MAB

Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.

KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits

Xia Li, Wenjing Pan

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

Jin Zhu, Jingyi Li, Hongyi Zhou et al.

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures

Shreya Shukla, Nakul Sharma, Manish Gupta et al.

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Jaehyeon Kim, Taehong Moon, Keon Lee et al.

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)

Kartik Singhal, Gautam Shroff

Higher Order Structures for Graph Explanations

Akshit Sinha, Sreeram Vennam, Charu Sharma et al.

Feedforward Few-shot Species Range Estimation

Christian Lange, Max Hamilton, Elijah Cole et al.

Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data

Mohammad Hosseini, Maryam Shanechi

TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation

Tong Wu, Junzhe Shen, Zixia Jia et al.

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.

COPER: Correlation-based Permutations for Multi-View Clustering

Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum

Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models

Shuoyuan Wang, Sharon Li, Hongxin Wei

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts

Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero et al.

Graph-Based Algorithms for Diverse Similarity Search

Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy et al.

Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting

Hongbi ZHOU, Zhangkai NI

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots

Guangting Zheng, Yehao Li, Yingwei Pan et al.

On the Local Complexity of Linear Regions in Deep ReLU Networks

Niket Patel, Guido Montufar

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting

Changyuan Tian, Zhicong Lu, Zequn Zhang et al.

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner

Chenyou Fan, Chenjia Bai, Zhao Shan et al.

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks

Ziyi Hu, Jun Liu, Zhongzhi Liu et al.

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

Haoming Yang, Ke Ma, Xiaojun Jia et al.

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics

Aleksandr Gushchin, Khaled Abud, Georgii Bychkov et al.

Explaining Decisions of Agents in Mixed-Motive Games

Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.

Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation

Zhiqi Yu, Zhichao Liao, Jingjing Li et al.

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Cao, Ranran Bu et al.

CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition

Zebin Wang, Menghan Lin, Bolin Shen et al.

Connecting Federated ADMM to Bayes

Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez

Representative Ranking for Deliberation in the Public Sphere

Manon Revel, Smitha Milli, Tyler Lu et al.

Compute-Constrained Data Selection

Junjie Oscar Yin, Alexander Rush

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization

Mingkang Zhu, Xi Chen, Zhongdao Wang et al.

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models

Jeffrey Gu, Serena Yeung

Distributionally Robust Policy Learning under Concept Drifts

Jingyuan Wang, Zhimei Ren, Ruohan Zhan et al.

Token Coordinated Prompt Attention is Needed for Visual Prompting

Zichen Liu, Xu Zou, Gang Hua et al.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs

Krzysztof Kacprzyk, Mihaela van der Schaar

Learning Robust and Privacy-Preserving Representations via Information Theory

Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong et al.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

Karish Grover, Geoff Gordon, Christos Faloutsos

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

Rongzhe Wei, Mufei Li, Mohsen Ghassemi et al.

Small Models are LLM Knowledge Triggers for Medical Tabular Prediction

Jiahuan Yan, Jintai Chen, Chaowen Hu et al.

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings

Rong-Xi Tan, Ming Chen, Ke Xue et al.

Sub-Sequential Physics-Informed Learning with State Space Model

Chenhui Xu, Dancheng Liu, Yuting Hu et al.

PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction

Shangyu Chen, Zizheng Pan, Jianfei Cai et al.

Automatic Reward Shaping from Confounded Offline Data

Mingxuan Li, Junzhe Zhang, Elias Bareinboim

Dendritic Localized Learning: Toward Biologically Plausible Algorithm

Changze Lv, Jingwen Xu, Yiyang Lu et al.

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction

Ruben Weitzman, Peter Mørch Groth, Lood van Niekerk et al.

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn

Faster Global Minimum Cut with Predictions

Helia Niaparast, Benjamin Moseley, Karan Singh

Emotional Face-to-Speech

Jiaxin Ye, Boyuan Cao, Hongming Shan

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Kyowoon Lee, Jaesik Choi

When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series

Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim et al.

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation

Jintao Tong, Yixiong Zou, Guangyao Chen et al.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages

Ashutosh Bajpai, Tanmoy Chakraborty

Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation

Mingjin Zhang, Wenteng Shang, Fei Gao et al.

CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries

Ni Mu, Hao Hu, Xiao Hu et al.

BAnG: Bidirectional Anchored Generation for Conditional RNA Design

Roman Klypa, Alberto Bietti, Sergei Grudinin

Online Reinforcement Learning in Non-Stationary Context-Driven Environments

Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf et al.

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving

Yuxuan Zhou, Xien Liu, Chenwei Yan et al.

Enhancing Multimodal Affective Analysis with Learned Live Comment Features

Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown

Should Decision-Makers Reveal Classifiers in Online Strategic Classification?

Han Shao, Shuo Xie, Kunhe Yang

Disentangled Representation Learning with the Gromov-Monge Gap

Théo Uscidda, Luca Eyring, Karsten Roth et al.

Non-Asymptotic Length Generalization

Thomas Chen, Tengyu Ma, Zhiyuan Li

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation

Yanna Ding, Zijie Huang, Xiao Shou et al.

Optimal Brain Apoptosis

Mingyuan Sun, Zheng Fang, Jiaxu Wang et al.

Chunk-Distilled Language Modeling

Yanhong Li, Karen Livescu, Jiawei Zhou