Most Cited ICML "overfitting alleviation" Papers
5,975 papers found • Page 29 of 30
Conference
Does Data Scaling Lead to Visual Compositional Generalization?
Arnas Uselis, Andrea Dittadi, Seong Joon Oh
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
Jintao Tong, Yixiong Zou, Guangyao Chen et al.
Model-Based Exploration in Monitored Markov Decision Processes
Alireza Kazemipour, Matthew Taylor, Michael Bowling
Deep Bayesian Filter for Bayes-Faithful Data Assimilation
Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda
Robust Multi-bit Text Watermark with LLM-based Paraphrasers
Xiaojun Xu, jinghan jia, Yuanshun Yao et al.
Online Conformal Prediction via Online Optimization
Felipe Areces, Christopher Mohri, Tatsunori Hashimoto et al.
Improving LLM Safety Alignment with Dual-Objective Optimization
Xuandong Zhao, Will Cai, Tianneng Shi et al.
Towards Understanding Parametric Generalized Category Discovery on Graphs
Bowen Deng, Lele Fu, Jialong Chen et al.
COExpander: Adaptive Solution Expansion for Combinatorial Optimization
Jiale Ma, Wenzheng Pan, Yang Li et al.
Learning Changes in Graphon Attachment Network Models
Xinyuan Fan, Bufan Li, Chenlei Leng et al.
polybasic Speculative Decoding Through a Theoretical Perspective
Ruilin Wang, Huixia Li, Yuexiao Ma et al.
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
Jing Qiao, Yu Liu, Zengzhe Chen et al.
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang et al.
Accelerating Spectral Clustering under Fairness Constraints
Francesco Tonin, Alex Lambert, Johan Suykens et al.
A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
Kunjie Ren, Luo Luo
Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning
yueheng li, Guangming Xie, Zongqing Lu
Visual Autoregressive Modeling for Image Super-Resolution
Yunpeng Qu, Kun Yuan, Jinhua Hao et al.
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
Sepehr Elahi, Paula Mürmann, Patrick Thiran
How to set AdamW's weight decay as you scale model and dataset size
Xi Wang, Laurence Aitchison
Understanding Chain-of-Thought in LLMs through Information Theory
Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu
Separating Knowledge and Perception with Procedural Data
Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola et al.
On the Power of Learning-Augmented Search Trees
Jingbang Chen, Xinyuan Cao, Alicia Stepin et al.
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
Linjian Meng, Wubing Chen, Wenbin Li et al.
A Mixture-Based Framework for Guiding Diffusion Models
Yazid Janati, Badr MOUFAD, Mehdi Qassime et al.
Conformal Tail Risk Control for Large Language Model Alignment
Catherine Chen, Jingyan Shen, Xinyu Yang et al.
Benign Overfitting in Token Selection of Attention Mechanism
Keitaro Sakamoto, Issei Sato
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
Kevin Xu, Issei Sato
Structured Preconditioners in Adaptive Optimization: A Unified Analysis
Shuo Xie, Tianhao Wang, Sashank J. Reddi et al.
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
Aditya Gangrade, Aldo Pacchiano, Clay Scott et al.
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue, Lang Feng, Jiacheng Xu et al.
Deep Streaming View Clustering
Honglin Yuan, Xingfeng Li, Jian Dai et al.
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
Yuan Feng, Yukun Cao, Hairu Wang et al.
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma et al.
Improving Consistency Models with Generator-Augmented Flows
Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos et al.
VerbalTS: Generating Time Series from Texts
Shuqi Gu, Chuyue Li, Baoyu Jing et al.
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
Li gengluo, Huawen Shen, Yu ZHOU
Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning
Wenhao Zhao, Qiushui Xu, Linjie Xu et al.
Inverse problems with experiment-guided AlphaFold
Sai Advaith Maddipatla, Nadav Bojan, Meital Bojan et al.
Cross-regularization: Adaptive Model Complexity through Validation Gradients
Carlos Stein Naves de Brito
CTBench: A Library and Benchmark for Certified Training
Yuhao Mao, Stefan Balauca, Martin Vechev
Average Certified Radius is a Poor Metric for Randomized Smoothing
Chenhao Sun, Yuhao Mao, Mark Müller et al.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin et al.
Identifying Metric Structures of Deep Latent Variable Models
Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi et al.
Online Clustering of Dueling Bandits
Zhiyong Wang, Jiahang Sun, Mingze Kong et al.
Universal Approximation Theorem of Deep Q-Networks
Qian Qi
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Tianyi Zhang, Yu Cao, Dianbo Liu
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
Xiangxin Zhou, Mingyu Li, xiao yi et al.
Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
Xiyue Zhu, Dou Kwark, Ruike Zhu et al.
The Logical Implication Steering Method for Conditional Interventions on Transformer Generation
Damjan Kalajdzievski
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
Eray Erturk, Fahad Kamran, Salar Abbaspourazad et al.
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang et al.
Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
Junbin Liu, Farzan Farnia, Wing-Kin Ma
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
Jinbo Wang, Mingze Wang, Zhanpeng Zhou et al.
Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval
Guofeng Ding, Yiding Lu, Peng Hu et al.
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
Xiangqi Li, Libo Huang, Zhulin An et al.
Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
Jiacheng Cheng, Xiwen Yao, Xiang Yuan et al.
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Xiaojun Shan et al.
Emergent Response Planning in LLMs
Zhichen Dong, Zhanhui Zhou, Zhixuan Liu et al.
Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
Yuntao Wang, Yuxuan Li, Qingyuan Yang et al.
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
Prompt-based Depth Pruning of Large Language Models
Juyun Wee, Minjae Park, Jaeho Lee
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
Keyue Qiu, Yuxuan Song, Jie Yu et al.
A General Representation-Based Approach to Multi-Source Domain Adaptation
Ignavier Ng, Yan Li, Zijian Li et al.
Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
Ansgar Lößer, Max Schlecht, Florian Schintke et al.
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
Haebin Shin, Lei Ji, Xiao Liu et al.
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang LI et al.
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
Deheng Yuan, Tao Guo, Zhongyi Huang
Generalization of noisy SGD in unbounded non-convex settings
Leello Dadi, Volkan Cevher
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
Yujun Huang, Bin Chen, Niu Lian et al.
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Baohao Liao, Yuhui Xu, Hanze Dong et al.
Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
Ruoxin Yuan, Guanhua Fang
A Bregman Proximal Viewpoint on Neural Operators
Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo et al.
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
Hongliang Lu, Zhonglin Xie, Yaoyu Wu et al.
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour
C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
Zifan LIU, Xinran Li, Jun Zhang
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
Phillip Guo, Aaquib Syed, Abhay Sheshadri et al.
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors Scheres
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
Charles O'Neill, Alim Gumran, David Klindt
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
Shiwei Li, Xiandi Luo, Xing Tang et al.
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
Yi Feng, Kaito Fujii, EFSTRATIOS PANTELEIMON SKOULAKIS et al.
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
Ren-Biao Liu, Anqi Li, ChaodingYang et al.
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller, Martin Wenzel, Tobias Windisch
SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Tur, Nicholas Meade, Xing Han Lù et al.
GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
Nannan Wu, Yuming Huang, Yiming Zhao et al.
Optimal Algorithm for Max-Min Fair Bandit
Zilong Wang, Zhiyao Zhang, Shuai Li
Weak-to-Strong Jailbreaking on Large Language Models
Xuandong Zhao, Xianjun Yang, Tianyu Pang et al.
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
Pouria Fatemi, Ehsan Sharifian, Mohammad Hossein Yassaee
Geometric Representation Condition Improves Equivariant Molecule Generation
Zian Li, Cai Zhou, Xiyuan Wang et al.
RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
Guanzheng Chen, Qilong Feng, Jinjie Ni et al.
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models
Xin Cheng, Jiabo Ye, Haiyang Xu et al.
Homophily Enhanced Graph Domain Adaptation
Ruiyi Fang, Bingheng Li, Jingyu Zhao et al.
Sample-specific Noise Injection for Diffusion-based Adversarial Purification
Yuhao Sun, Jiacheng Zhang, Zesheng Ye et al.
Efficient Multi-modal Long Context Learning for Training-free Adaptation
Zehong Ma, Shiliang Zhang, Longhui Wei et al.
Approximately Correct Label Distribution Learning
Weiwei Li, Haitao Wu, Yunan Lu et al.
Value-Based Deep RL Scales Predictably
Oleh Rybkin, Michal Nauman, Preston Fu et al.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen ZENG et al.
Prior Knowledge Guided Neural Architecture Generation
Jingrong Xie, Han Ji, Yanan Sun
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini et al.
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
Rui Yang, Hanyang(Jeremy) Chen, Junyu Zhang et al.
Probabilistic Factorial Experimental Design for Combinatorial Interventions
Divya Shyamal, Jiaqi Zhang, Caroline Uhler
The Missing Alignment Link of In-context Learning on Sequences
Harshvardhan Agarwal, Sunita Sarawagi
A First-order Generative Bilevel Optimization Framework for Diffusion Models
Quan Xiao, Hui Yuan, A F M Saif et al.
Optimal Survey Design for Private Mean Estimation
Yu-Wei Chen, Raghu Pasupathy, Jordan A Awan
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
Canzhe Zhao, Yutian Cheng, Jing Dong et al.
Constrained Pareto Set Identification with Bandit Feedback
Cyrille Kone, Emilie Kaufmann, Laura Richert
Geometric Generative Modeling with Noise-Conditioned Graph Networks
Peter Pao-Huang, Mitchell Black, Xiaojie Qiu
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
Jingtan Wang, Xiaoqiang Lin, Rui Qiao et al.
Improving Out-of-Distribution Detection with Markov Logic Networks
Konstantin Kirchheim, Frank Ortmeier
NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina et al.
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
Kangjie Chen, Muyang Li, Guanlin Li et al.
Generalized Random Forests Using Fixed-Point Trees
David Fleischer, David A Stephens, Archer Yang
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
Shuyuan Wang, Philip D. Loewen, Michael Forbes et al.
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Guan Zhong, Likang Wu, Hongke Zhao et al.
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
Seungwook Han, Jinyeop Song, Jeff Gore et al.
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
Jaemoo Choi, Jaewoong Choi, Dohyun Kwon
Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu
Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding
Yixin Zha, Chuxin Wang, Wenfei Yang et al.
Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
Florian Beier, Moritz Piening, Robert Beinert et al.
Improved Off-policy Reinforcement Learning in Biological Sequence Design
Hyeonah Kim, Minsu Kim, Taeyoung Yun et al.
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
MindCustomer: Multi-Context Image Generation Blended with Brain Signal
Muzhou Yu, Shuyun Lin, Lei Ma et al.
Empirical Design in Reinforcement Learning
Andrew Patterson, Samuel F Neumann, Martha White et al.
Compressed and distributed least-squares regression: convergence rates with applications to federated learning
Constantin Philippenko, Aymeric Dieuleveut
Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya, Sujay Sanghavi, Alex Dimakis et al.
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu, Juncheng Liu, Gerald Woo et al.
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
Yuheng Lai, Leying Guan
Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist)
Kevin Wei, Patricia Paskov, Sunishchal Dev et al.
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li, Michael R. Metel, Akiko Takeda
Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs
Ziyu Ye, Rishabh Agarwal, Tianqi Liu et al.
The Polynomial Stein Discrepancy for Assessing Moment Convergence
Narayan Srinivasan, Matthew Sutton, Christopher Drovandi et al.
Active feature acquisition via explainability-driven ranking
Osman Berke Guney, Ketan Saichandran, Karim Elzokm et al.
REG: Rectified Gradient Guidance for Conditional Diffusion Models
Zhengqi Gao, Kaiwen Zha, Tianyuan Zhang et al.
Hyper-Transforming Latent Diffusion Models
Ignacio Peis, Batuhan Koyuncu, Isabel Valera et al.
SpikF: Spiking Fourier Network for Efficient Long-term Prediction
Wenjie Wu, Dexuan Huo, Hong Chen
Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
Haoming Jing, Yorie Nakahira
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Jie Hu, Yi-Ting Ma, Do-Young Eun
SAFE: Finding Sparse and Flat Minima to Improve Pruning
Dongyeop Lee, Kwanhee Lee, Jinseok Chung et al.
Weight matrices compression based on PDB model in deep neural networks
Xiaoling Wu, Junpeng Zhu, Zeng Li
L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation
Weihan Li, Linyun Zhou, YangJian et al.
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy et al.
Long-Form Speech Generation with Spoken Language Models
Se Jin Park, Julian Salazar, Aren Jansen et al.
Sampling Binary Data by Denoising through Score Functions
Francis Bach, Saeed Saremi
DVI:A Derivative-based Vision Network for INR
RUNZHAO YANG, Xiaolong Wu, Zhihong Zhang et al.
Graph Inverse Style Transfer for Counterfactual Explainability
Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
Shiqing Gao, Jiaxin Ding, Luoyi Fu et al.
Sounding that Object: Interactive Object-Aware Image to Audio Generation
Tingle Li, Baihe Huang, Xiaobin Zhuang et al.
Mechanistic PDE Networks for Discovery of Governing Equations
Adeel Pervez, Efstratios Gavves, Francesco Locatello
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, MohammadHassan Abbasi et al.
Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
Kyle Heuton, Frederick Muench, Shikhar Shrestha et al.
Label Distribution Propagation-based Label Completion for Crowdsourcing
Tong Wu, Liangxiao Jiang, Wenjun Zhang et al.
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov et al.
Optimizing Adaptive Attacks against Watermarks for Language Models
Abdulrahman Diaa, Toluwani Aremu, Nils Lukas
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
Xiaoli Tang, Han Yu, Zengxiang Li et al.
Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
Yu Zhang, Shanshan Zhao, Bokui Wan et al.
Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
Zhihan Zhu, Yanhao Zhang, Yong Xia
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing
Kuan Li, Liwen Zhang, Yong Jiang et al.
More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas
Rethinking Aleatoric and Epistemic Uncertainty
Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope et al.
Sample Complexity of Branch-length Estimation by Maximum Likelihood
David Clancy, Hanbaek Lyu, Sebastien Roch
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
Xuening Feng, Zhaohui Jiang, Timo Kaufmann et al.
Robust Automatic Modulation Classification with Fuzzy Regularization
Xinyan Liang, Ruijie Sang, Yuhua Qian et al.
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
Kapilan Balagopalan, Tuan Nguyen, Yao Zhao et al.
Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving
Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan et al.
Differentially Private Federated $k$-Means Clustering with Server-Side Data
Jonathan Scott, Christoph Lampert, David Saulpic
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
Junkang Wu, xue wang, Zhengyi Yang et al.
Discrete and Continuous Difference of Submodular Minimization
George Orfanides, Tim Hoheisel, Marwa El Halabi
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
Yongxian Wei, Anke Tang, Li Shen et al.
TAROT: Targeted Data Selection via Optimal Transport
Lan Feng, Fan Nie, Yuejiang Liu et al.
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
Yifan Fang, Yifei Fang, Ruizhe Chen et al.
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
Wenke Huang, Jian Liang, Zekun Shi et al.
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
Jie Peng, Jenna Ballard, Mohan Zhang et al.
$\texttt{I$^2$MoE}$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
Jiayi Xin, Sukwon Yun, Jie Peng et al.
Ergodic Generative Flows
Leo Brunswic, Mateo Clémente, Rui Heng Yang et al.
Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
Ruchika Chavhan, Abhinav Mehrotra, Malcolm Chadwick et al.
Positive-unlabeled AUC Maximization under Covariate Shift
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.
Improving Transformer World Models for Data-Efficient RL
Antoine Dedieu, Joseph Ortiz, Xinghua Lou et al.
Feature Importance Metrics in the Presence of Missing Data
Henrik von Kleist, Joshua Wendland, Ilya Shpitser et al.
Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia et al.
Disparate Conditional Prediction in Multiclass Classifiers
Sivan Sabato, Eran Treister, Elad Yom-Tov
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
Xinyu Yang, Tom Zollo, Benjamin Eyre et al.
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
Bowen Jin, Jinsung Yoon, Zhen Qin et al.
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
Ali Bahri, Moslem Yazdanpanah, Sahar Dastani Oghani et al.
UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
Xiangzhe Kong, Zishen Zhang, Ziting Zhang et al.
Towards Memorization Estimation: Fast, Formal and Free
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi et al.
InfAlign: Inference-aware language model alignment
Ananth Balashankar, Ziteng Sun, Jonathan Berant et al.
Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem
In Huh, Changwook Jeong, Muhammad Alam
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen, Tong Chen, Mingming Gong et al.
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
Maximilian Beck, Korbinian Pöppel, Phillip Lippe et al.
The Underlying Universal Statistical Structure of Natural Datasets
Noam Levi, Yaron Oz
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
Qi Yang, Chenghao Zhang, Lubin Fan et al.
When and How Does CLIP Enable Domain and Compositional Generalization?
Elias Kempf, Simon Schrodi, Max Argus et al.
IT$^3$: Idempotent Test-Time Training
Nikita Durasov, Assaf Shocher, Doruk Oner et al.
How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
Haonan Yuan, Qingyun Sun, Junhua Shi et al.
Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models
Xingyu Chen, Jiahao Xu, Tian Liang et al.
Towards Better-than-2 Approximation for Constrained Correlation Clustering
Andreas Kalavas, Evangelos Kipouridis, Nithin Varma
Scaling Sparse Feature Circuits For Studying In-Context Learning
Dmitrii Kharlapenko, Stepan Shabalin, Arthur Conmy et al.
ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning
Wei Xiao, Johnson Tsun-Hsuan Wang, Chuang Gan et al.
ADDQ: Adaptive distributional double Q-learning
Leif Döring, Benedikt Wille, Maximilian Birr et al.
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A. Chan-Santiago, praveen tirupattur, Gaurav Kumar Nayak et al.
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
Yang Luo, Zangwei Zheng, Ziheng Qin et al.