Most Cited 2024 "top-p sampling" Papers

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement

Sheng Xu, Mingze Wang, Yanjing Li et al.

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

Haobo Xu, Yuchen Yan, Dingsu Wang et al.

Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval

Mengchu Xu, Zhang Yuxuan, Jian Wang

Iterative Regularized Policy Optimization with Imperfect Demonstrations

Xudong Gong, Feng Dawei, Kele Xu et al.

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model

Tijin Yan, Hengheng Gong, Yongping He et al.

Handling Heterogeneous Curvatures in Bandit LQR Control

Yu-Hu Yan, Jing Wang, Peng Zhao

Foundations of Testing for Finite-Sample Causal Discovery

Tom Yan, Ziyu Xu, Zachary Lipton

Retrieval Across Any Domains via Large-scale Pre-trained Model

Jiexi Yan, Zhihui Yin, Chenghao Xu et al.

Reducing Balancing Error for Causal Inference via Optimal Transport

Yuguang Yan, Hao Zhou, Zeqin Yang et al.

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

Yaodong Yang, Guangyong Chen, Jianye Hao et al.

Small-loss Adaptive Regret for Online Convex Optimization

Wenhao Yang, Wei Jiang, Yibo Wang et al.

UniAudio: Towards Universal Audio Generation with Large Language Models

Dongchao Yang, Jinchuan Tian, Xu Tan et al.

Explain Temporal Black-Box Models via Functional Decomposition

Linxiao Yang, Yunze Tong, Xinyue Gu et al.

Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers

Zhiyu Yao, Jian Wang, Haixu Wu et al.

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration

Xinjie Yao, Yu Wang, Pengfei Zhu et al.

DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution

Shrey Singh, Prateek Keserwani, Masakazu Iwamura et al.

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs

Lu Yin, Ajay Jaiswal, Shiwei Liu et al.

Activation-Descent Regularization for Input Optimization of ReLU Networks

Hongzhan Yu, Sicun Gao

Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders

XUE YU, Muchen Li, Yan Leng et al.

Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer

Le Yu, Xinde Li, Pengfei Zhang et al.

Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization

Naiyu Yin, Hanjing Wang, Yue Yu et al.

Improving Sharpness-Aware Minimization by Lookahead

Runsheng Yu, Youzhi Zhang, James Kwok

SHINE: Shielding Backdoors in Deep Reinforcement Learning

Zhuowen Yuan, Wenbo Guo, Jinyuan Jia et al.

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.

Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution

Johannes Zenn, Robert Bamler

Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders

Zhiheng Zhang

DAG-Based Column Generation for Adversarial Team Games

Youzhi Zhang, Bo An, Daniel Zeng

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation

Tonghe Zhang, Yu Chen, Longbo Huang

Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees

Robin Kenis, Emanuel Laude, Panagiotis Patrinos

CaM: Cache Merging for Memory-efficient LLMs Inference

Yuxin Zhang, Yuxuan Du, Gen Luo et al.

Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models

Hanlin Zhang, Benjamin Edelman, Danilo Francati et al.

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness

Yahong Zhang, Chenchen Fan, Donghui Chen et al.

Parameter-Efficient Fine-Tuning with Controls

Chi Zhang, Jingpu Cheng, Yanyu Xu et al.

Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields

Yonggan Fu, Huaizhi Qu, Zhifan Ye et al.

Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering

Haoyu Zhang, Meng Liu, Zixin Liu et al.

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis

Yunhao Zhang, Liu Minghao, Shengyang Zhou et al.

Sparse-to-dense Multimodal Image Registration via Multi-Task Learning

Kaining Zhang, Jiayi Ma

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization

Xinwen Zhang, Ali Payani, Myungjin Lee et al.

Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models

Zixin Zhang, Fan Qi, Changsheng Xu

Online Resource Allocation with Non-Stationary Customers

Xiaoyue Zhang, Hanzhang Qin, Mabel Chou

Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning

Qiankun Zhang, Aocheng Shen, Boyu Zhang et al.

Switchable Decision: Dynamic Neural Generation Networks

Shujian Zhang, Korawat Tanwisuth, Chengyue Gong et al.

Scalar Function Topology Divergence: Comparing Topology of 3D Objects

Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii et al.

GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs

Zheng Zhang, Na Wang, Ziqi Zhang et al.

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective

Yulong Zhang, Yuan Yao, Shuhao Chen et al.

Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets

Magzhan Gabidolla, Arman Zharmagambetov, Miguel Carreira-Perpinan

Distributionally Robust Data Valuation

Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu et al.

Efficient Denoising Diffusion via Probabilistic Masking

Weizhong Zhang, Zhiwei Zhang, Renjie Pi et al.

Neural Jump-Diffusion Temporal Point Processes

Shuai Zhang, Chuan Zhou, Yang Liu et al.

Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation

Zhihao Zhang, Alan Zhu, Lijie Yang et al.

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence

Weiye Zhao, Feihan Li, Yifan Sun et al.

Energy-induced Explicit quantification for Multi-modality MRI fusion

Xiaoming Qi, Yuan Zhang, Tong Wang et al.

Rethinking Adversarial Robustness in the Context of the Right to be Forgotten

Chenxu Zhao, Wei Qian, Yangyi Li et al.

LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers

Ziling Huang, Shin’ichi Satoh

Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity

Ali Behrouz, Parsa Delavari, Farnoosh Hashemi

Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements

Kyuwon Kim, Donghwan Kim

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel et al.

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers

Yunshan Zhong, Jiawei Hu, You Huang et al.

GNNs Also Deserve Editing, and They Need It More Than Once

Shaochen (Henry) Zhong, Duy Le, Zirui Liu et al.

Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference

Yan Zhong, Xingyu Wu, Li Zhang et al.

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm

Zhanpeng Zhou, Zijun Chen, Yilan Chen et al.

Sequential Kernel Goodness-of-fit Testing

Zhengyu Zhou, Weiwei Liu

Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection

Kohei Yamashita, Vincent Lepetit, Ko Nishino

CurBench: Curriculum Learning Benchmark

Yuwei Zhou, Zirui Pan, Xin Wang et al.

Iterative Search Attribution for Deep Neural Networks

Zhiyu Zhu, Huaming Chen, Xinyi Wang et al.

Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints

Tian Zhu, Milong Ren, Haicang Zhang

Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective

Panjian Huang, Yunjie Peng, Saihui Hou et al.

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration

Zhengyang Zhuge, Peisong Wang, Xingting Yao et al.

3D Congealing: 3D-Aware Image Alignment in the Wild

Yunzhi Zhang, Zizhang Li, Amit Raj et al.

Viewing Transformers Through the Lens of Long Convolutions Layers

Itamar Zimerman, Lior Wolf

BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization

Lancheng Zou, Wenqian Zhao, Shuo Yin et al.

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Yuelin Zhang, Jiacheng Cen, Jiaqi Han et al.

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

Jie ZHANG, Xiaosong Ma, Song Guo et al.

Unsupervised Exposure Correction

Ruodai Cui, Li Niu, Guosheng Hu

Position: Is machine learning good or bad for the natural sciences?

David W. Hogg, Soledad Villar

Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data

Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini

Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training

Yechan Kim, Hwijoon Lim, Dongsu Han

LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction

Linqing Zhao, Xiuwei Xu, Ziwei Wang et al.

Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective

Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima

Video Frame Interpolation via Direct Synthesis with the Event-based Reference

Yuhan Liu, Yongjian Deng, Hao Chen et al.

Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring

Xiaoqian Lv, Shengping Zhang, Chenyang Wang et al.

MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

Haokai Zhu, Si-Yuan Cao, Jianxin Hu et al.

LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning

Sijin Chen, Xin Chen, Chi Zhang et al.

Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers

Sheng Yang, Jiawang Bai, Kuofeng Gao et al.

Uncertainty-Guided Never-Ending Learning to Drive

Lei Lai, Eshed Ohn-Bar, Sanjay Arora et al.

Feedback-Guided Autonomous Driving

Jimuyang Zhang, Zanming Huang, Arijit Ray et al.

Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation

Guangrui Li

Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Dylan Campbell et al.

Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration

Shihao Zhou, Duosheng Chen, Jinshan Pan et al.

Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle

Hyeokjun Kweon, Jihun Kim, Kuk-Jin Yoon

LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering

Jaehoon Choi, Rajvi Shah, Qinbo Li et al.

MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding

Xu Cao, Tong Zhou, Yunsheng Ma et al.

SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes

Alexandros Delitzas, Ayça Takmaz, Federico Tombari et al.

Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation

Biao Gong, Siteng Huang, Yutong Feng et al.

DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation

Chenyang Wang, Zerong Zheng, Tao Yu et al.

SPAD: Spatially Aware Multi-View Diffusers

Yash Kant, Aliaksandr Siarohin, Ziyi Wu et al.

Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion

Lalit Manam, Venu Madhav Govindu

Model Adaptation for Time Constrained Embodied Control

Jaehyun Song, Minjong Yoo, Honguk Woo

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

Jiahan Li, Jiuyang Dong, Shenjin Huang et al.

Mudslide: A Universal Nuclear Instance Segmentation Method

Jun Wang

DIEM: Decomposition-Integration Enhancing Multimodal Insights

Xinyi Jiang, Guoming Wang, Junhao Guo et al.

HOI-M^3: Capture Multiple Humans and Objects Interaction within Contextual Environment

Juze Zhang, Jingyan Zhang, Zining Song et al.

CORES: Convolutional Response-based Score for Out-of-distribution Detection

Keke Tang, Chao Hou, Weilong Peng et al.

MR-VNet: Media Restoration using Volterra Networks

Siddharth Roheda, Amit Unde, Loay Rashid

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models

Huimin Huang, Yawen Huang, Lanfen Lin et al.

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning

Shihua Zhang, Zizhuo Li, Yuan Gao et al.

Domain Gap Embeddings for Generative Dataset Augmentation

Yinong Oliver Wang, Younjoon Chung, Chen Henry Wu et al.

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration

Morteza Ghahremani, Mohammad Khateri, Bailiang Jian et al.

TransLoc4D: Transformer-based 4D Radar Place Recognition

Guohao Peng, Heshan Li, Yangyang Zhao et al.

HDQMF: Holographic Feature Decomposition Using Quantum Algorithms

Prathyush Poduval, Zhuowen Zou, Mohsen Imani

Higher-order Relational Reasoning for Pedestrian Trajectory Prediction

Sungjune Kim, Hyung-gun Chi, Hyerin Lim et al.

HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models

Wenfeng Song, Xinyu Zhang, Shuai Li et al.

Efficient Model Stealing Defense with Noise Transition Matrix

Dong-Dong Wu, Chilin Fu, Weichang Wu et al.

Absolute Pose from One or Two Scaled and Oriented Features

Jonathan Ventura, Zuzana Kukelova, Torsten Sattler et al.

Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.

Weijian Ma, Shuaiqi Chen, Yunzhong Lou et al.

Open-Vocabulary 3D Semantic Segmentation with Foundation Models

Li Jiang, Shaoshuai Shi, Bernt Schiele

Training Vision Transformers for Semi-Supervised Semantic Segmentation

Xinting Hu, Li Jiang, Bernt Schiele

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

Hongbin Pei, Taile Chen, Chen A et al.

Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning

Zihuan Qiu, Yi Xu, Fanman Meng et al.

Class Tokens Infusion for Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon, Hoyong Kwon, Hyeonseong Kim et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture

Huijie Zhang, Yifu Lu, Ismail Alkhouri et al.

MFOS: Model-Free & One-Shot Object Pose Estimation

JongMin Lee, Yohann Cabon, Romain Brégier et al.

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

Transportable Representations for Domain Generalization

Kasra Jalaldoust, Elias Bareinboim

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models

YUNCHENG GUO, Xiaodong Gu

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors

Yuan Dong, Qi Zuo, Xiaodong Gu et al.

Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration

Yixuan Sun, Zhangyue Yin, Haibo Wang et al.

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

Effective Federated Graph Matching

Yang Zhou, Zijie Zhang, Zeru Zhang et al.

Adaptive Observation Cost Control for Variational Quantum Eigensolvers

Christopher J. Anders, Kim A. Nicoli, Bingting Wu et al.

GPTSwarm: Language Agents as Optimizable Graphs

Mingchen Zhuge, Wenyi Wang, Louis Kirsch et al.

Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources

Yi-Xuan Sun, Ya-Lin Zhang, BIN HAN et al.

Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation

Kui Zhang, Hang Zhou, Jie Zhang et al.

Improving Computational Complexity in Statistical Models with Local Curvature Information

Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo et al.

Box Facets and Cut Facets of Lifted Multicut Polytopes

Lucas Fabian Naumann, Jannik Irmai, Shengxian Zhao et al.

Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?

Lorenz K. Muller

Incorporating probabilistic domain knowledge into deep multiple instance learning

Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri et al.

On Online Experimentation without Device Identifiers

Shiv Shankar, Ritwik Sinha, Madalina Fiterau

DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation

Chenfeng Miao, Qingying Zhu, Chen Minchuan et al.

On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation

Álvaro Labarca Silva, Denis Parra, Rodrigo A Toro Icarte

Non-parametric Online Change Point Detection on Riemannian Manifolds

Xiuheng Wang, Ricardo Borsoi, Cédric Richard

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation

Weiming Liu, Xiaolin Zheng, Chaochao Chen et al.

A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation

Yosra MARNISSI, Maxime Leiber

Differentially Private Domain Adaptation with Theoretical Guarantees

Raef Bassily, Corinna Cortes, Anqi Mao et al.

Partial Optimality in the Linear Ordering Problem

David Stein, Bjoern Andres

Federated Continual Learning via Prompt-based Dual Knowledge Transfer

Hongming Piao, Yichen WU, Dapeng Wu et al.

Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation

Rahul Singh, Akshay Mete, Avik Kar et al.

Information-Directed Pessimism for Offline Reinforcement Learning

Alec Koppel, Sujay Bhatt, Jiacheng Guo et al.

Towards Realistic Model Selection for Semi-supervised Learning

Muyang Li, Xiaobo Xia, Runze Wu et al.

On Statistical Learning Theory for Distributional Inputs

Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow et al.

Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs

Luca Arnaboldi, Yatin Dandi, FLORENT KRZAKALA et al.

One Meta-tuned Transformer is What You Need for Few-shot Learning

Xu Yang, Huaxiu Yao, Ying WEI

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

Jiewei Zhang, Song Guo, Peiran Dong et al.

Position: TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang et al.

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data

Heting Gao, Kaizhi Qian, Junrui Ni et al.

Accelerating Federated Learning with Quick Distributed Mean Estimation

Ran Ben Basat, Shay Vargaftik, Amit Portnoy et al.

Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention

Aaron Havens, Alexandre Araujo, Huan Zhang et al.

Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective

Junwei Yang, Kangjie Zheng, Siyu Long et al.

Improving Neural Logic Machines via Failure Reflection

Zhiming Li, Yushi Cao, Yan Zheng et al.

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment

Xudong Li, Runze Hu, Jingyuan Zheng et al.

Less is More: on the Over-Globalizing Problem in Graph Transformers

Yujie Xing, Xiao Wang, Yibo Li et al.

Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework

Haonan Huang, Guoxu Zhou, Yanghang Zheng et al.

Bridging Environments and Language with Rendering Functions and Vision-Language Models

Théo Cachet, Christopher Dance, Olivier Sigaud

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration

Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim et al.

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data

Yujun Zhou, Yufei Han, Haomin Zhuang et al.

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval

Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer et al.

Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning

Bowen Zheng, Da-Wei Zhou, Han-Jia Ye et al.

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees

Jiahao Liu, Yipeng Zhou, Di Wu et al.

Dynamic Spectral Clustering with Provable Approximation Guarantee

Steinar Laenen, He Sun

Learning to Explore in POMDPs with Informational Rewards

Annie Xie, Logan M. Bhamidipaty, Evan Liu et al.

The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline

Haonan Wang, Qianli Shen, Yao Tong et al.

Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic

Nicolas Alder, Ralf Herbrich

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach

Bin Zhang, Hangyu Mao, Lijuan Li et al.

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information

Xinhang Wan, Jiyuan Liu, Xinwang Liu et al.

Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation

Weixuan Liang, En Zhu, Shengju Yu et al.

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

Junhao Yu, Yan Zhuang, Zhenya Huang et al.

Complexity Matters: Feature Learning in the Presence of Spurious Correlations

GuanWen Qiu, Da Kuang, Surbhi Goel

Rethinking the Flat Minima Searching in Federated Learning

Taehwan Lee, Sung Whan Yoon

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models

Huilai Chen, Yuanbo Wen, Limin Cheng et al.

Gradient-based Visual Explanation for Transformer-based CLIP

Chenyang ZHAO, Kun Wang, Xingyu Zeng et al.

Performance Bounds for Active Binary Testing with Information Maximization

Aditya Chattopadhyay, Benjamin Haeffele, Rene Vidal et al.

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering

Shengju Yu, Dong Zhibin, Siwei Wang et al.

Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective

Yajie Bao, Michael Crawshaw, Mingrui Liu

Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization

Xingyi Zhao, Depeng Xu, Shuhan Yuan

Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention

Jiaqi Zhang, Joel Jennings, Agrin Hilmkil et al.

PAGER: Accurate Failure Characterization in Deep Regression Models

Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi et al.

Scalable Safe Policy Improvement for Factored Multi-Agent MDPs

Federico Bianchi, Edoardo Zorzi, Alberto Castellini et al.

Dynamic Facility Location in High Dimensional Euclidean Spaces

Sayan Bhattacharya, Gramoz Goranci, Shaofeng Jiang et al.

No Double Descent in Principal Component Regression: A High-Dimensional Analysis

Daniel Gedon, Antonio Ribeiro, Thomas Schön

Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images

Jun-Peng Jiang, Han-Jia Ye, Leye Wang et al.

One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment

Chaochao Chen, Jiaming Zhang, Yuyuan Li et al.

AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning

Dong Chen, Hongyuan Qu, Guangwu Xu

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics

Ankit Vani, Frederick Tung, Gabriel Oliveira et al.

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations

Stefan Sylvius Wagner Martinez, Stefan Harmeling

Towards a Self-contained Data-driven Global Weather Forecasting Framework

Yi Xiao, LEI BAI, Wei Xue et al.

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

George-Octavian Bărbulescu, Peter Triantafillou

S$\Omega$I: Score-based O-INFORMATION Estimation

Mustapha BOUNOUA, Giulio Franzese, Pietro Michiardi