Most Cited ICLR "training-data free generation" Papers
6,124 papers found • Page 12 of 31
Conference
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai et al.
Learning invariant representations of time-homogeneous stochastic dynamical systems
Vladimir Kostic, Pietro Novelli, Riccardo Grazzi et al.
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Siqi Kou, Lei Gan, Dequan Wang et al.
Robustifying State-space Models for Long Sequences via Approximate Diagonalization
Annan Yu, Arnur Nigmetov, Dmitriy Morozov et al.
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?
Zijian Chen, tingzhu chen, Wenjun Zhang et al.
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
Linjiajie Fang, Ruoxue Liu, Jing Zhang et al.
Non-negative Contrastive Learning
Yifei Wang, Qi Zhang, Yaoyu Guo et al.
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang, Rui Yang, Xi Chen et al.
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
Lijie Yang, Zhihao Zhang, Zhuofu Chen et al.
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack, Ge Zhu, Jonah Casebeer et al.
How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos C Daskalakis
Neural Spectral Methods: Self-supervised learning in the spectral domain
Yiheng Du, Nithin Chalapathi, Aditi Krishnapriyan
ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY
Chenrui Tie, Yue Chen, Ruihai Wu et al.
Logically Consistent Language Models via Neuro-Symbolic Integration
Diego Calanzone, Stefano Teso, Antonio Vergari
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding, Jiancan Wu, Yancheng Yuan et al.
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
Ming Zhong, Chenxin An, Weizhu Chen et al.
Masked Completion via Structured Diffusion with White-Box Transformers
Druv Pai, Sam Buchanan, Ziyang Wu et al.
Learning 3D Particle-based Simulators from RGB-D Videos
William Whitney, Tatiana Lopez-Guevara, Tobias Pfaff et al.
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan, Zecheng Zhang, Xinwei He et al.
DiffEnc: Variational Diffusion with a Learned Encoder
Beatrix M. G. Nielsen, Anders Christensen, Andrea Dittadi et al.
LLMs Can Plan Only If We Tell Them
Bilgehan Sel, Ruoxi Jia, Ming Jin
The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling
Ruochen Zhang, Qinan Yu, Matianyu Zang et al.
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
Xu Zheng, Farhad Shirani, Tianchun Wang et al.
Predictive auxiliary objectives in deep RL mimic learning in the brain
Ching Fang, Kimberly Stachenfeld
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Zhenfang Chen, Delin Chen, Rui Sun et al.
A Restoration Network as an Implicit Prior
Yuyang Hu, Mauricio Delbracio, Peyman Milanfar et al.
Are Human-generated Demonstrations Necessary for In-context Learning?
Rui Li, Guoyin Wang, Jiwei Li
GOAt: Explaining Graph Neural Networks via Graph Output Attribution
Shengyao Lu, Keith G Mills, Jiao He et al.
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang, kuan tian, Yonghang Guan et al.
Measuring And Improving Persuasiveness Of Large Language Models
SOMESH SINGH, Yaman Singla, Harini S I et al.
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
David Grangier, Simin Fan, Skyler Seto et al.
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj et al.
Transformers Struggle to Learn to Search
Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar 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.
Backdooring Vision-Language Models with Out-Of-Distribution Data
Weimin Lyu, Michael Yao, Saumya Gupta et al.
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
Jiannan Huang, Jun Hao Liew, Hanshu Yan et al.
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Ruoyu Wang, Yongqi Yang, Zhihao Qian et al.
Transformers can optimally learn regression mixture models
Reese Pathak, Rajat Sen, Weihao Kong et al.
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan et al.
Order-Preserving GFlowNets
Yihang Chen, Lukas Mauch
CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
The Foundations of Tokenization: Statistical and Computational Concerns
Juan Luis Gastaldi, John Terilla, Luca Malagutti et al.
Logical Consistency of Large Language Models in Fact-Checking
Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat et al.
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
TIANYUAN ZOU, Zixuan GU, Yu He et al.
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Mathias Jackermeier, Alessandro Abate
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
Julián Tachella, Mike Davies, Laurent Jacques
BatchPrompt: Accomplish more with less
Jianzhe Lin, Maurice Diesendruck, Liang Du et al.
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Binwu Wang, Pengkun Wang, Wei Xu et al.
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen et al.
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
Haoxian Chen, Hanyang Zhao, Henry Lam et al.
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
Patrik Reizinger, Siyuan Guo, Ferenc Huszar et al.
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu, Guihong Li, Shaohan Hu et al.
DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
Rana Shahout, Eran Malach, Chunwei Liu et al.
Language Guided Skill Discovery
Seungeun Rho, Laura Smith, Tianyu Li et al.
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez et al.
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alex Robey, Fabian Latorre, George Pappas et al.
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
Yi Zeng, Yu Yang, Andy Zhou et al.
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess et al.
AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
Fengyuan Liu, Nikhil Kandpal, Colin Raffel
Are Large Vision Language Models Good Game Players?
Xinyu Wang, Bohan Zhuang, Qi Wu
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu, Jianxiong Li, Xianyuan Zhan et al.
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
Jiawei Ge, Shange Tang, Jianqing Fan et al.
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
Jingyang Zhang, Shiwei Li, Yuanxun Lu et al.
Equivariant Neural Functional Networks for Transformers
Viet-Hoang Tran, Thieu Vo, An Nguyen et al.
Image-level Memorization Detection via Inversion-based Inference Perturbation
Yue Jiang, Haokun Lin, Yang Bai et al.
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, Andras Gyorgy et al.
Truncated Consistency Models
Sangyun Lee, Yilun Xu, Tomas Geffner et al.
Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model
Wenhong Zhu, Zhiwei He, Xiaofeng Wang et al.
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang, Ethan Blaser, Hadi Daneshmand et al.
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
Chain of Log-Concave Markov Chains
Saeed Saremi, Ji Won Park, Francis Bach
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
Murong Yue, Wenlin Yao, Haitao Mi et al.
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
Lingbing Guo, Zhuo Chen, Jiaoyan Chen et al.
Stochastic Gradient Descent for Gaussian Processes Done Right
Jihao Andreas Lin, Shreyas Padhy, Javier Antorán et al.
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs
Zijia Zhao, Haoyu Lu, Yuqi Huo et al.
A Periodic Bayesian Flow for Material Generation
Hanlin Wu, Yuxuan Song, Jingjing Gong et al.
A Unified Theory of Quantum Neural Network Loss Landscapes
Eric Anschuetz
PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify
Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa
Sylber: Syllabic Embedding Representation of Speech from Raw Audio
Cheol Jun Cho, Nicholas Lee, Akshat Gupta et al.
Your Weak LLM is Secretly a Strong Teacher for Alignment
Leitian Tao, Yixuan Li
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
Arth Shukla, Stone Tao, Hao Su
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
Tinghao Xie, Xiangyu Qi, Ping He et al.
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
Yifeng Xu, Zhenliang He, Shiguang Shan et al.
Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.
Bridging the Data Provenance Gap Across Text, Speech, and Video
Shayne Longpre, Nikhil Singh, Manuel Cherep et al.
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
Zihao Wang, Bin CUI, Shaoduo Gan
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
Fu-Yun Wang, Yunhao Shui, Jingtan Piao et al.
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Yaofo Chen, Shuaicheng Niu, Yaowei Wang et al.
GenEx: Generating an Explorable World
TaiMing Lu, Tianmin Shu, Alan Yuille et al.
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
Kai Yi, Nidham Gazagnadou, Peter Richtarik et al.
Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
Sedigheh Eslami, Gerard de Melo
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
Chris Cundy, Stefano Ermon
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia, Yi Yu, Jiang Xudong et al.
MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
Yanqi Dai, Huanran Hu, Lei Wang et al.
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
Seanie Lee, Haebin Seong, Dong Bok Lee et al.
Learning to Make Adherence-aware Advice
Guanting Chen, Xiaocheng Li, Chunlin Sun et al.
The Need for Speed: Pruning Transformers with One Recipe
Samir Khaki, Konstantinos Plataniotis
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang, Ruihong Qiu, Guangdong Bai et al.
Differentiable Euler Characteristic Transforms for Shape Classification
Ernst Roell, Bastian Rieck
Simplicial Representation Learning with Neural $k$-Forms
Kelly Maggs, Celia Hacker, Bastian Rieck
Continuous Ensemble Weather Forecasting with Diffusion models
Martin Andrae, Tomas Landelius, Joel Oskarsson et al.
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan et al.
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As, Bhavya, Lenart Treven et al.
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
Qingchen Yu, Zifan Zheng, Shichao Song et al.
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Bo Zhang, Xinyu Cai, Jiakang Yuan et al.
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
Aliyah Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri et al.
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
Weibin Liao, Xu Chu, Yasha Wang
A Second-Order Perspective on Model Compositionality and Incremental Learning
Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega et al.
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
Montgomery Bohde, Meng Liu, Alexandra Saxton et al.
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
Ling Yang, Zhaochen Yu, Tianjun Zhang et al.
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Tianjin Huang, Ziquan Zhu, Gaojie Jin et al.
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
Yu Wang, Tong Zhao, Yuying Zhao et al.
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Haoyang Liu, Jie Wang, Zijie Geng et al.
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao, Zhengyuan Yang, Kevin Lin et al.
One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
Wenxi Lv, Qinliang Su, Wenchao Xu
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
Cheng Tan, Yijie Zhang, Zhangyang Gao et al.
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
Sarp Aykent, Tian Xia
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan et al.
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Ashutosh Baheti, Ximing Lu, Faeze Brahman et al.
MaGIC: Multi-modality Guided Image Completion
Hao Wang, Yongsheng Yu, Tiejian Luo et al.
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
Shengda Fan, Xin Cong, Yuepeng Fu et al.
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng, Farhad Shirani, Zhuomin Chen et al.
Multi-Reward as Condition for Instruction-based Image Editing
Xin Gu, Ming Li, Libo Zhang et al.
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Weigao Sun, Qin Zhen, Weixuan Sun et al.
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov, Peter Zaika, James Rowbottom et al.
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Zeyu Gan, Yong Liu
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
Elan Rosenfeld, Andrej Risteski
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
Brian DuSell, David Chiang
Optimal Sample Complexity for Average Reward Markov Decision Processes
Shengbo Wang, Jose Blanchet, Peter Glynn
SEABO: A Simple Search-Based Method for Offline Imitation Learning
Jiafei Lyu, Xiaoteng Ma, Le Wan et al.
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Peter Lippmann, Gerrit Gerhartz, Roman Remme et al.
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
Shicheng Xu, Liang Pang, Yunchang Zhu et al.
Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
Junwei Zhou, Xueting Li, Lu Qi et al.
When does compositional structure yield compositional generalization? A kernel theory.
Samuel Lippl, Kimberly Stachenfeld
Ultra-Sparse Memory Network
Zihao Huang, Qiyang Min, Hongzhi Huang et al.
Weighted-Reward Preference Optimization for Implicit Model Fusion
Ziyi Yang, Fanqi Wan, Longguang Zhong et al.
Quantifying Generalization Complexity for Large Language Models
Zhenting Qi, Hongyin Luo, Xuliang Huang et al.
Pitfalls of Evidence-Based AI Policy
Stephen Casper, David Krueger, Dylan Hadfield-Menell
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz, Maciej Mazurowski
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
Haotian Xia, Zhengbang Yang, Junbo Zou et al.
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
Pengfei Zheng, Yonggang Zhang, Zhen Fang et al.
Online GNN Evaluation Under Test-time Graph Distribution Shifts
Xin Zheng, Dongjin Song, Qingsong Wen et al.
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Hannah Lawrence, Vasco Portilheiro, Yan Zhang et al.
Context Steering: Controllable Personalization at Inference Time
Zhiyang He, Sashrika Pandey, Mariah Schrum et al.
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
Yuchen Zhu, Tianrong Chen, Lingkai Kong et al.
CR-CTC: Consistency regularization on CTC for improved speech recognition
Zengwei Yao, Wei Kang, Xiaoyu Yang et al.
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin Inan, Arturs Backurs et al.
Benchmarking LLMs' Judgments with No Gold Standard
Shengwei Xu, Yuxuan Lu, Grant Schoenebeck et al.
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
Tianyu Li, Hyunyoung Jung, Matthew Gombolay et al.
LoLCATs: On Low-Rank Linearizing of Large Language Models
Michael Zhang, Simran Arora, Rahul Chalamala et al.
Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
Slava Elizarov, Ciara Rowles, Simon Donné
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang, Zixiang Chen, Quanquan Gu
On the Feature Learning in Diffusion Models
Andi Han, Wei Huang, Yuan Cao et al.
Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters
Kevin Li, Sachin Goyal, João D Semedo et al.
Lifting Architectural Constraints of Injective Flows
Peter Sorrenson, Felix Draxler, Armand Rousselot et al.
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li, Yixin Zhu, Yitao Liang et al.
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
XiangCheng Zhang, Fang Kong, Baoxiang Wang et al.
Mixture of Parrots: Experts improve memorization more than reasoning
Samy Jelassi, Clara Mohri, David Brandfonbrener et al.
One Forward is Enough for Neural Network Training via Likelihood Ratio Method
Jinyang Jiang, Zeliang Zhang, Chenliang Xu et al.
Neural Active Learning Beyond Bandits
Yikun Ban, Ishika Agarwal, Ziwei Wu et al.
“I Am the One and Only, Your Cyber BFF”: Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI
Myra Cheng, Alicia DeVrio, Lisa Egede et al.
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo et al.
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin, John Cooper, Frederic Sala
AdaGrad under Anisotropic Smoothness
Yuxing Liu, Rui Pan, Tong Zhang
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
BingoGuard: LLM Content Moderation Tools with Risk Levels
Fan Yin, Philippe Laban, XIANGYU PENG et al.
MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow
Hanzhuo Huang, Yuan Liu, Ge Zheng et al.
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma, Jiongxiao Wang, Fei Wang et al.
CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark
Jian Wu, Linyi Yang, Zhen Wang et al.
AdaWM: Adaptive World Model based Planning for Autonomous Driving
Hang Wang, Xin Ye, Feng Tao et al.
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine ABBAHADDOU, Sofiane ENNADIR, Johannes Lutzeyer et al.
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
Thomas T. Zhang, Leonardo Felipe Toso, James Anderson et al.
Neural Contractive Dynamical Systems
Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis et al.
Quantized Spike-driven Transformer
Xuerui Qiu, Malu Zhang, Jieyuan Zhang et al.
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le, Chau Nguyen, Huy Nguyen et al.
Deep Distributed Optimization for Large-Scale Quadratic Programming
Augustinos Saravanos, Hunter Kuperman, Alex Oshin et al.
Are Models Biased on Text without Gender-related Language?
Catarina Belém, Preethi Seshadri, Yasaman Razeghi et al.
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
Mattia Segu, Luigi Piccinelli, Siyuan Li et al.
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy et al.
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
Runyu Zhang, Yang Hu, Na Li
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
Hong Wang, Zhongkai Hao, Jie Wang et al.
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
Yanwei Wang, Johnson (Tsun-Hsuan) Wang, Jiayuan Mao et al.
Adaptive Federated Learning with Auto-Tuned Clients
Junhyung Lyle Kim, Mohammad Taha Toghani, Cesar Uribe et al.
Provable weak-to-strong generalization via benign overfitting
David Wu, Anant Sahai
Masks, Signs, And Learning Rate Rewinding
Advait Gadhikar, Rebekka Burkholz
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.
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
Xingchen Wan, Han Zhou, Ruoxi Sun et al.
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
Wei Yao, Haian Yin, Shangzhi Zeng et al.
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
Qingni Wang, Tiantian Geng, Zhiyuan Wang et al.
Optimization with Access to Auxiliary Information
EL MAHDI CHAYTI, Sai Karimireddy
SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
Hui Chen, Viet Luong, Lopamudra Mukherjee et al.
Protein Multimer Structure Prediction via Prompt Learning
Ziqi Gao, Xiangguo SUN, Zijing Liu et al.
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
Dung Nguyen, Thang Phan, Nam Le Hai et al.
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang et al.
Improving Long-Text Alignment for Text-to-Image Diffusion Models
Luping Liu, Chao Du, Tianyu Pang et al.
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
William June Suk Choi, Kyungmin Lee, Jongheon Jeong et al.