Most Cited ICLR "expert selection diversity" Papers
6,124 papers found • Page 7 of 31
Conference
Systematic Outliers in Large Language Models
Yongqi An, Xu Zhao, Tao Yu et al.
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
Qixun Wang, Yifei Wang, Xianghua Ying et al.
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka et al.
Are Human-generated Demonstrations Necessary for In-context Learning?
Rui Li, Guoyin Wang, Jiwei Li
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
Qingchen Yu, Zifan Zheng, Shichao Song et al.
ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY
Chenrui Tie, Yue Chen, Ruihai Wu et al.
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Tianjin Huang, Ziquan Zhu, Gaojie Jin et al.
Logically Consistent Language Models via Neuro-Symbolic Integration
Diego Calanzone, Stefano Teso, Antonio Vergari
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci et al.
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Haoyang Liu, Jie Wang, Zijie Geng et al.
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
Haoxian Chen, Hanyang Zhao, Henry Lam et al.
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
Sarp Aykent, Tian Xia
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Weigao Sun, Qin Zhen, Weixuan Sun et al.
Can We Talk Models Into Seeing the World Differently?
Paul Gavrikov, Jovita Lukasik, Steffen Jung et al.
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh, Yixuan Li, Kyungwoo Song et al.
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
Qinghao Ye, Xianhan Zeng, Fu Li et al.
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
Hengshuo Chu, Xiang Deng, Qi Lv et al.
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
Shicheng Xu, Liang Pang, Yunchang Zhu et al.
One Forward is Enough for Neural Network Training via Likelihood Ratio Method
Jinyang Jiang, Zeliang Zhang, Chenliang Xu et al.
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
Xin Xu, Jiaxin ZHANG, Tianhao Chen et al.
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
Hong Wang, Zhongkai Hao, Jie Wang et al.
SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
Hui Chen, Viet Luong, Lopamudra Mukherjee et al.
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
Haotian Xia, Zhengbang Yang, Junbo Zou et al.
FlowDec: A flow-based full-band general audio codec with high perceptual quality
Simon Welker, Matthew Le, Ricky T. Q. Chen et al.
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le, Chau Nguyen, Huy Nguyen et al.
Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation
Zhi Cen, Huaijin Pi, Sida Peng et al.
Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
Junwei Zhou, Xueting Li, Lu Qi et al.
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Chun-Liang Li, Tomas Pfister, Kihyuk Sohn et al.
Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
Slava Elizarov, Ciara Rowles, Simon Donné
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan-Ming Luo, Tian Xu, Xingchen Cao et al.
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack, Ge Zhu, Jonah Casebeer et al.
Pitfalls of Evidence-Based AI Policy
Stephen Casper, David Krueger, Dylan Hadfield-Menell
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
Kairong Luo, Haodong Wen, Shengding Hu et al.
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
Julie Kallini, Shikhar Murty, Christopher Manning et al.
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
XiangCheng Zhang, Fang Kong, Baoxiang Wang et al.
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar et al.
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
Zenan Li, Zhaoyu Li, Wen Tang et al.
Pre-training with Random Orthogonal Projection Image Modeling
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed et al.
Deep Distributed Optimization for Large-Scale Quadratic Programming
Augustinos Saravanos, Hunter Kuperman, Alex Oshin et al.
Online GNN Evaluation Under Test-time Graph Distribution Shifts
Xin Zheng, Dongjin Song, Qingsong Wen et al.
Block-Attention for Efficient Prefilling
Dongyang Ma, Yan Wang, Tian Lan
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
Wei Yao, Haian Yin, Shangzhi Zeng et al.
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin, John Cooper, Frederic Sala
BingoGuard: LLM Content Moderation Tools with Risk Levels
Fan Yin, Philippe Laban, XIANGYU PENG et al.
CoBIT: A Contrastive Bi-directional Image-Text Generation Model
Haoxuan You, Xiaoyue Guo, Zhecan Wang et al.
CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark
Jian Wu, Linyi Yang, Zhen Wang et al.
Mechanistic Permutability: Match Features Across Layers
Nikita Balagansky, Ian Maksimov, Daniil Gavrilov
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj et al.
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
olga fourkioti, Matt De Vries, Chris Bakal
Probabilistic Language-Image Pre-Training
Sanghyuk Chun, Wonjae Kim, Song Park et al.
Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model
Wenhong Zhu, Zhiwei He, Xiaofeng Wang et al.
MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
Yanqi Dai, Huanran Hu, Lei Wang et al.
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo et al.
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz, Maciej Mazurowski
Weighted-Reward Preference Optimization for Implicit Model Fusion
Ziyi Yang, Fanqi Wan, Longguang Zhong et al.
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
Qiujie Xie, Qingqiu Li, Zhuohao Yu et al.
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
Christopher Musco, R. Teal Witter
FaceShot: Bring Any Character into Life
Junyao Gao, Yanan Sun, Fei Shen et al.
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Peter Lippmann, Gerrit Gerhartz, Roman Remme et al.
Provable weak-to-strong generalization via benign overfitting
David Wu, Anant Sahai
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang, Sagar Vaze, Kai Han
E-Valuating Classifier Two-Sample Tests
Tim Bakker, Christian A. Naesseth, Patrick Forré et al.
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding, Jiancan Wu, Yancheng Yuan et al.
Optimization with Access to Auxiliary Information
EL MAHDI CHAYTI, Sai Karimireddy
Robust Function-Calling for On-Device Language Model via Function Masking
Qiqiang Lin, Muning Wen, Qiuying Peng et al.
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
Shengda Fan, Xin Cong, Yuepeng Fu et al.
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang et al.
AdaGrad under Anisotropic Smoothness
Yuxing Liu, Rui Pan, Tong Zhang
Protein Multimer Structure Prediction via Prompt Learning
Ziqi Gao, Xiangguo SUN, Zijing Liu et al.
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
William June Suk Choi, Kyungmin Lee, Jongheon Jeong et al.
A Restoration Network as an Implicit Prior
Yuyang Hu, Mauricio Delbracio, Peyman Milanfar et al.
The Need for Speed: Pruning Transformers with One Recipe
Samir Khaki, Konstantinos Plataniotis
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan et al.
A Second-Order Perspective on Model Compositionality and Incremental Learning
Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega et al.
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele et al.
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, Andras Gyorgy et al.
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li, Yixin Zhu, Yitao Liang et al.
Implicit Search via Discrete Diffusion: A Study on Chess
Jiacheng Ye, Zhenyu Wu, Jiahui Gao et al.
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
Yinghui Li, Haojing Huang, Jiayi Kuang et al.
Quantized Spike-driven Transformer
Xuerui Qiu, Malu Zhang, Jieyuan Zhang et al.
Mixture of Parrots: Experts improve memorization more than reasoning
Samy Jelassi, Clara Mohri, David Brandfonbrener et al.
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
Mattia Segu, Luigi Piccinelli, Siyuan Li et al.
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Qi Yan, Raihan Seraj, Jiawei He et al.
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Zeyu Gan, Yong Liu
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
XIANGYU PENG, Congying Xia, Xinyi Yang et al.
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
Makoto Shing, Kou Misaki, Han Bao et al.
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Zhenfang Chen, Delin Chen, Rui Sun et al.
Efficient Inference for Large Language Model-based Generative Recommendation
Xinyu Lin, Chaoqun Yang, Wenjie Wang et al.
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang et al.
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao, Masatoshi Uehara, Gabriele Scalia et al.
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Muhammed Ildiz, Halil Gozeten, Ege Taga et al.
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
Jingwei Xu, Junyu Lai, Yunpeng Huang
Do LLMs estimate uncertainty well in instruction-following?
Juyeon Heo, Miao Xiong, Christina Heinze-Deml et al.
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
Andrew Estornell, Jean-Francois Ton, Yuanshun Yao et al.
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Haixin Wang, Jiaxin Li, Anubhav Dwivedi et al.
GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
Junzhe Jiang, Chun Gu, Yurui Chen et al.
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang, Zixiang Chen, Quanquan Gu
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu, Johan S Obando Ceron, Aaron Courville et al.
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne et al.
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Guiyu Zhang, Huan-ang Gao, Zijian Jiang et al.
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Yueru Luo, Shuguang Cui, Zhen Li
A Unifying Framework for Representation Learning
Shaden Alshammari, John Hershey, Axel Feldmann et al.
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma, Jiongxiao Wang, Fei Wang et al.
C-CLIP: Multimodal Continual Learning for Vision-Language Model
Wenzhuo Liu, Fei Zhu, Longhui Wei et al.
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
Yuchen Zhu, Tianrong Chen, Lingkai Kong et al.
An Engorgio Prompt Makes Large Language Model Babble on
Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang et al.
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu et al.
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
Benchmarking LLMs' Judgments with No Gold Standard
Shengwei Xu, Yuxuan Lu, Grant Schoenebeck et al.
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Michael Aerni, Javier Rando, Edoardo Debenedetti et al.
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
Yuzhou Gu, Zhao Song, Lichen Zhang
What Makes a Maze Look Like a Maze?
Joy Hsu, Jiayuan Mao, Joshua B Tenenbaum et al.
Ward: Provable RAG Dataset Inference via LLM Watermarks
Nikola Jovanović, Robin Staab, Maximilian Baader et al.
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
Fu-Yun Wang, Yunhao Shui, Jingtan Piao et al.
Light Schrödinger Bridge
Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
Are Large Vision Language Models Good Game Players?
Xinyu Wang, Bohan Zhuang, Qi Wu
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
Hojae Han, seung-won hwang, Rajhans Samdani et al.
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang et al.
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
Seanie Lee, Haebin Seong, Dong Bok Lee et al.
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Juno Kim, Kakei Yamamoto, Kazusato Oko et al.
AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
Fengyuan Liu, Nikhil Kandpal, Colin Raffel
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
Ziye Huang, Haoqi Yuan, Yuhui Fu et al.
On the Feature Learning in Diffusion Models
Andi Han, Wei Huang, Yuan Cao et al.
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Song Wang, Peng Wang, Tong Zhou et al.
MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow
Hanzhuo Huang, Yuan Liu, Ge Zheng et al.
A Periodic Bayesian Flow for Material Generation
Hanlin Wu, Yuxuan Song, Jingjing Gong et al.
AdaWM: Adaptive World Model based Planning for Autonomous Driving
Hang Wang, Xin Ye, Feng Tao et al.
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
Yang Liu, Zinan Zheng, Jiashun Cheng et al.
Learning Transformer-based World Models with Contrastive Predictive Coding
Maxime Burchi, Radu Timofte
Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation
Abdelrahman Eldesokey, Peter Wonka
Standardizing Structural Causal Models
Weronika Ormaniec, Scott Sussex, Lars Lorch et al.
InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
Chenxin Li, Hengyu Liu, Zhiwen Fan et al.
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
Zikai Xiao, Zihan Chen, Liyinglan Liu et al.
PAC Prediction Sets Under Label Shift
Wenwen Si, Sangdon Park, Insup Lee et al.
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
David Wessels, David Knigge, Riccardo Valperga et al.
Mixture of Attentions For Speculative Decoding
Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras et al.
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
Differentiable Euler Characteristic Transforms for Shape Classification
Ernst Roell, Bastian Rieck
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li, Pengfei Cao, Zhuoran Jin et al.
On a Connection Between Imitation Learning and RLHF
Teng Xiao, Yige Yuan, Mingxiao Li et al.
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez et al.
Surprising Effectiveness of pretraining Ternary Language Model at Scale
Ayush Kaushal, Tejas Vaidhya, Arnab Mondal et al.
Truncated Consistency Models
Sangyun Lee, Yilun Xu, Tomas Geffner et al.
Solving New Tasks by Adapting Internet Video Knowledge
Calvin Luo, Zilai Zeng, Yilun Du et al.
Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
Shaocong Ma, Heng Huang
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan, Mohit Tiwari, Peiyang Song et al.
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Yeonjun In et al.
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Guanzheng Chen, Xin Li, Michael Qizhe Shieh et al.
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia, Yi Yu, Jiang Xudong et al.
EX-Graph: A Pioneering Dataset Bridging Ethereum and X
Qian Wang, Zhen Zhang, Zemin Liu et al.
Post-hoc Reward Calibration: A Case Study on Length Bias
Zeyu Huang, Zihan Qiu, zili wang et al.
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng, Minjun Zhu, Fei Xia et al.
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
Giung Nam, Byeongho Heo, Juho Lee
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters
Kevin Li, Sachin Goyal, João D Semedo et al.
OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
Xize Cheng, Siqi Zheng, zehan wang et al.
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
Ling Yang, Zhaochen Yu, Tianjun Zhang et al.
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang, Anke Tang, Didi Zhu et al.
Generalizability of Adversarial Robustness Under Distribution Shifts
Bernard Ghanem, Kumail Alhamoud, Hasan Hammoud et al.
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
Yuanfei Wang, Xiaojie Zhang, Ruihai Wu et al.
Unbounded: A Generative Infinite Game of Character Life Simulation
Jialu Li, Yuanzhen Li, Neal Wadhwa et al.
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation
Anqi Li, Feng Li, Yuxi Liu et al.
ZeroFlow: Scalable Scene Flow via Distillation
Kyle Vedder, Neehar Peri, Nathaniel Chodosh et al.
Language-Informed Visual Concept Learning
Sharon Lee, Yunzhi Zhang, Shangzhe Wu et al.
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Hannah Lawrence, Vasco Portilheiro, Yan Zhang et al.
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
Yuchen Liang, Peizhong Ju, Yingbin Liang et al.
Learning Molecular Representation in a Cell
Gang Liu, Srijit Seal, John Arevalo et al.
Trusted Multi-View Classification via Evolutionary Multi-View Fusion
Xinyan Liang, Pinhan Fu, Yuhua Qian et al.
Generative Classifiers Avoid Shortcut Solutions
Alexander Li, Ananya Kumar, Deepak Pathak
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
Yansen Zhang, Qingcan Kang, Wing Yin YU et al.
On the hardness of learning under symmetries
Bobak Kiani, Thien Le, Hannah Lawrence et al.
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
Maxwell Xu, Jaya Narain, Gregory Darnell et al.
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Mengyuan Chen, Junyu Gao, Changsheng Xu
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
Minyoung Park, MIRAE DO, Yeon Jae Shin et al.
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Jiale Cheng, Xiao Liu, Cunxiang Wang et al.
Fully-inductive Node Classification on Arbitrary Graphs
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin et al.
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad Shah, David Solans Noguero, Mikko Heikkilä et al.
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
Xingrui Wang, Wufei Ma, Angtian Wang et al.
SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix
Peng Dai, Feitong Tan, Qiangeng Xu et al.
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
Yuanhao Ban, Ruochen Wang, Tianyi Zhou et al.
Coreset Selection via Reducible Loss in Continual Learning
Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi et al.
Stable Segment Anything Model
Qi Fan, Xin Tao, Lei Ke et al.
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jiachun Pan, Jun Hao Liew et al.
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
Tianci Liu, Ruirui Li, Yunzhe Qi et al.
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu, Xiyan Cai, Xinjie Zhang et al.
Formation of Representations in Neural Networks
Liu Ziyin, Isaac Chuang, Tomer Galanti et al.
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
Tianyi Zhang, Anshumali Shrivastava
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
Sara Klein, Simon Weissmann, Leif Döring
Imputation for prediction: beware of diminishing returns.
Marine Le Morvan, Gael Varoquaux
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde, Tassilo Wald, Tobias Schumacher et al.
MAP: Multi-Human-Value Alignment Palette
Xinran Wang, Qi Le, Ammar Ahmed et al.
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
Zhipeng Zhou, Liu Liu, Peilin Zhao et al.
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
Andrew Luo, Jacob Yeung, Rushikesh Zawar et al.