Most Cited 2024 "vector quantization llms" Papers

LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities

Jiahui Qu, Yuanbo Yang, Wenqian Dong et al.

Cut out the Middleman: Revisiting Pose-based Gait Recognition

YANG FU, Saihui Hou, Shibei Meng et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement

Kai Shang, Mingwen Shao, Chao Wang et al.

Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting

Lingdong Shen, Chunlei Huo, Nuo Xu et al.

Convergence of Some Convex Message Passing Algorithms to a Fixed Point

Václav Voráček, Tomáš Werner

"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra et al.

Holistic Evaluation of Language Models

Jue Wang, Lucia Zheng, Nathan Kim et al.

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Mohamed Abdelfattah, Mariam Hassan, Alex Alahi

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models

Zhilin Huang, Ling Yang, Xiangxin Zhou et al.

Data-Free Quantization via Pseudo-label Filtering

Chunxiao Fan, Ziqi Wang, Dan Guo et al.

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

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

Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements

Niels Chr. Overgaard, Anders Holst

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning

Guancheng Wan, Yijun Tian, Wenke Huang et al.

Non-stationary Online Convex Optimization with Arbitrary Delays

Yuanyu Wan, Chang Yao, Mingli Song et al.

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Counting Graph Substructures with Graph Neural Networks

Charilaos Kanatsoulis, Alejandro Ribeiro

Adversarially Robust Hypothesis Transfer Learning

Yunjuan Wang, Raman Arora

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features

Chao Wang, Xin Bing, Xin HE et al.

MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution

Shuying Huang, Ge Chen, Yong Yang et al.

Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning

Wei Zhang, Chaoqun Wan, Tongliang Liu et al.

MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning

S Chandra Mouli, Muhammad Alam, Bruno Ribeiro

Adaptively Learning to Select-Rank in Online Platforms

Jingyuan Wang, Perry Dong, Ying Jin et al.

Accept the Modality Gap: An Exploration in the Hyperbolic Space

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models

Ziyi Lin, Dongyang Liu, Renrui Zhang et al.

CellPLM: Pre-training of Cell Language Model Beyond Single Cells

Hongzhi Wen, Wenzhuo Tang, Xinnan Dai et al.

An Efficient Maximal Ancestral Graph Listing Algorithm

Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou

Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks

Ruigang Wang, Krishnamurthy Dvijotham, Ian Manchester

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

Malek Mechergui, Sarath Sreedharan

AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference

Xuanlei Zhao, Shenggan Cheng, Guangyang LU et al.

Quantum-Inspired Neural Network with Runge-Kutta Method

Zipeng Fan, Jing Zhang, Peng Zhang et al.

Fitting Flats to Flats

Gabriel Dogadov, Ugo Finnendahl, Marc Alexa

Dynamic Neural Response Tuning

Tian Qiu, Xu Wenxiang, lin chen et al.

Rapid Learning without Catastrophic Forgetting in the Morris Water Maze

Raymond L Wang, Jaedong Hwang, Akhilan Boopathy et al.

HOIST-Former: Hand-held Objects Identification Segmentation and Tracking in the Wild

Supreeth Narasimhaswamy, Huy Anh Nguyen, Lihan Huang et al.

High-dimensional SGD aligns with emerging outlier eigenspaces

Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang et al.

In-context Learning on Function Classes Unveiled for Transformers

Zhijie Wang, Bo Jiang, Shuai Li

A 2-Dimensional State Space Layer for Spatial Inductive Bias

Ethan Baron, Itamar Zimerman, Lior Wolf

Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation

Yaoming Wang, Jin Li, Wenrui Dai et al.

Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers

Oren Mangoubi, Nisheeth Vishnoi

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

Da Wang, Lin Li, Wei Wei et al.

Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach

Yancheng Wang, Ping Li, Yingzhen Yang

An Iterative Min-Min Optimization Method for Sparse Bayesian Learning

Yasen Wang, Junlin Li, Zuogong Yue et al.

Cross-Constrained Progressive Inference for 3D Hand Pose Estimation

ZheHan Kan, Xueting Hu, Zihan Liao et al.

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models

Zhengbo Wang, Jian Liang, Ran He et al.

Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning

Xiyu Wang, Baijiong Lin, Daochang Liu et al.

M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation

Yingshuang Zou, Yikang Ding, Xi Qiu et al.

A Dual-module Framework for Counterfactual Estimation over Time

Xin Wang, Shengfei Lyu, Lishan Yang et al.

Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process

Idan Toker, David Sarne, Jonathan Schler

FMBoost: Boosting Latent Diffusion with Flow Matching

Johannes Schusterbauer-Fischer, Ming Gui, Pingchuan Ma et al.

Decomposing Constraint Networks for Calculating c-Representations

Marco Wilhelm, Gabriele Kern-Isberner

Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data

Yafei Wang, Bo Pan, Mei Li et al.

CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation

Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa et al.

A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models

Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples

Yuyang Yu, Bangzhen Liu, Chenxi Zheng et al.

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis

Rongchao Zhang, Yu Huang, Yiwei Lou et al.

Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency

chentong wang, Yannan Qu, Zhangzhi Peng et al.

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks

Sheng Long, Wei Tao, Shuohao LI et al.

Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models

Bin Fu, Fanghua Yu, Anran Liu et al.

Generalization Analysis of Stochastic Weight Averaging with General Sampling

Wang Peng, Li Shen, Zerui Tao et al.

CW Complex Hypothesis for Image Data

Yi Wang, Zhiren Wang

Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning

Gopendra Singh, Mauajama Firdaus, Dushyant Singh Chauhan et al.

Two-Stage Video Shadow Detection via Temporal-Spatial Adaption

Xin Duan, Yu Cao, Lei Zhu et al.

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Zhihai Wang, Jie Wang, Dongsheng Zuo et al.

StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography

Xiao Ke, Huanqi Wu, Wenzhong Guo

Defense against Model Extraction Attack by Bayesian Active Watermarking

Zhenyi Wang, Yihan Wu, Heng Huang

Transferable Video Moment Localization by Moment-Guided Query Prompting

Hao Jiang, Yang Yizhang, Yadong Mu

Learning with Adaptive Resource Allocation

Jing Wang, Miao Yu, Peng Zhao et al.

Exploring Intrinsic Dimension for Vision-Language Model Pruning

Hanzhang Wang, Jiawen Zhang, Qingyuan Ma

Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography

Dorian Chan, Matthew O'Toole, Sizhuo Ma et al.

Energy-Efficient Streaming Time Series Classification with Attentive Power Iteration

Hao Huang, Tapan Shah, Scott Evans et al.

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Jizhou Wu, Jianye Hao, Tianpei Yang et al.

Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation

Ziqi Wang, Wei Wang, Chao Huang et al.

Principle Component Trees and Their Persistent Homology

Ben Kizaric, Daniel Pimentel-Alarcon

Knowledge-Aware Explainable Reciprocal Recommendation

Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.

Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem

Qingyun Zhang, YuMing Du, Zhipeng Lü et al.

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

A Hierarchical Bayesian Model for Few-Shot Meta Learning

Minyoung Kim, Timothy Hospedales

Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning

JinYi Yoon, HyungJune Lee

Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems

Siwei Wei, Xudong Zhang, Zhiyang Zhou et al.

Confidential-DPproof: Confidential Proof of Differentially Private Training

Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere et al.

Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning

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

Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data

Na Zhao, Gim Hee Lee

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering

Jie Wen, Shijie Deng, Waikeung Wong et al.

MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection

Haowen Sun, Yueqi Duan, Juncheng Yan et al.

Faithful Rule Extraction for Differentiable Rule Learning Models

Xiaxia Wang, David Jaime Tena Cucala, Bernardo Grau et al.

Learning to Reject Meets Long-tail Learning

Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum et al.

A Linear Algebraic Framework for Counterfactual Generation

Jong-Hoon Ahn, Akshay Vashist

UAV First-Person Viewers Are Radiance Field Learners

Liqi Yan, Qifan Wang, Junhan Zhao et al.

End-to-End Real-Time Vanishing Point Detection with Transformer

Xin Tong, Shi Peng, Yufei Guo et al.

Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning

Shuning Xu, Binbin SONG, Xiangyu Chen et al.

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

Scott Workman, Armin Hadzic

Current Page

Random Entangled Tokens for Adversarially Robust Vision Transformer

Huihui Gong, Minjing Dong, Siqi Ma et al.

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing

Ling Yang, Zhilong Zhang, Zhaochen Yu et al.

PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques

Yue Wu, Xidao hu, Yongzhe Yuan et al.

Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis

Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.

From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation

Xinhao Chen, Chong Yang, Changzhi Sun et al.

S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution

Jiahui Qu, Jie He, Wenqian Dong et al.

Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces

Fang Wu, Stan Z Li

Learning Causal Relations from Subsampled Time Series with Two Time-Slices

Anpeng Wu, Haoxuan Li, Kun Kuang et al.

ConditionVideo: Training-Free Condition-Guided Video Generation

Bo Peng, Xinyuan Chen, Yaohui Wang et al.

On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning

Jiayi Chen, Aidong Zhang

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency

Stone Tao, Arth Shukla, Tse-kai Chan et al.

Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models

Gen Li, Yuting Wei, Yuxin Chen et al.

Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

Lei Zhai, Shuyuan Yang, Yitong Li et al.

Profile Reconstruction from Private Sketches

Hao WU, Rasmus Pagh

Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion

Bin Shang, Yinliang Zhao, Jun Liu et al.

A Theory of Fault-Tolerant Learning

Changlong Wu, Yifan Wang, Ananth Grama

Object centric architectures enable efficient causal representation learning

Amin Mansouri, Jason Hartford, Yan Zhang et al.

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization

Yichen WU, Hong Wang, Peilin Zhao et al.

Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA

Zhongze Wu, Hongyan Xu, Yitian Long et al.

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Zhenting Wang, Chen Chen, Lingjuan Lyu et al.

Partial Multi-View Clustering via Self-Supervised Network

Qianqian Wang, Guoshuai Sheng, Quanxue Gao et al.

Efficient Target Propagation by Deriving Analytical Solution

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato et al.

A Branching Decoder for Set Generation

Zixian Huang, Gengyang Xiao, Yu Gu et al.

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning

Shuai Shao, Yu Bai, Yan Wang et al.

Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation

Zhihang Zhong, Gurunandan Krishnan, Xiao Sun et al.

Divergence-Guided Simultaneous Speech Translation

Xinjie Chen, Kai Fan, Wei Luo et al.

Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources

Xia, Jonathan Wilson, Benjamin Goldstein et al.

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao et al.

Delving into the Convergence of Generalized Smooth Minimax Optimization

Wenhan Xian, Ziyi Chen, Heng Huang

Category-Aware Active Domain Adaptation

Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu

Optimistic Bayesian Optimization with Unknown Constraints

Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song et al.

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion

Bowen Zhang, Qing Liu, Jianming Zhang et al.

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs

Teng Xiao, Huaisheng Zhu, Zhiwei Zhang et al.

CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models

Jie Xiao, Kai Zhu, Han Zhang et al.

Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models

Xiaofan Bai, Chaoxiang He, Xiaojing Ma et al.

Score-Based Causal Discovery of Latent Variable Causal Models

Ignavier Ng, Xinshuai Dong, Haoyue Dai et al.

FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error

Yueqi Xie, Minghong Fang, Neil Gong

$\pi$2vec: Policy Representation with Successor Features

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci et al.

Implicit Bias of AdamW: $\ell_\infty$-Norm Constrained Optimization

Shuo Xie, Zhiyuan Li

Learning to reconstruct signals from binary measurements alone

Laurent Jacques, Julián Tachella

Amalgamating Multi-Task Models with Heterogeneous Architectures

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong et al.

A Separation and Alignment Framework for Black-Box Domain Adaptation

Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.

Global Optimality for Non-linear Constrained Restoration Problems via Invexity

Samuel Pinilla, Jeyan Thiyagalingam

Enhanced Face Recognition using Intra-class Incoherence Constraint

Yuanqing Huang, Yinggui Wang, Le Yang et al.

Efficient Scene Recovery Using Luminous Flux Prior

ZhongYu Li, Lei Zhang

Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs

Qihan Ren, Jiayang Gao, Wen Shen et al.

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning

Yuhang He, YingJie Chen, Yuhan Jin et al.

Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution

Kai Yin, Jie Shen

Semantic-Aware Human Object Interaction Image Generation

zhu xu, Qingchao Chen, Yuxin Peng et al.

Instance-Conditional Timescales of Decay for Nonstationary Learning

Nishant Jain, Pradeep Shenoy

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha DuTell, Mark Hamilton et al.

Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning

Ning Xu, Yihao Hu, Congyu Qiao et al.

KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking

Liu Liu, Anran Huang, Qi Wu et al.

Integer Is Enough: When Vertical Federated Learning Meets Rounding

Pengyu Qiu, Yuwen Pu, Yongchao Liu et al.

Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module

Yixing Xu, Chao Li, Dong Li et al.

Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning

TengYe Xu, Zihao Li, Qinyuan Ren

Language Modeling Is Compression

Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne et al.

Robust Inverse Constrained Reinforcement Learning under Model Misspecification

Sheng Xu, Guiliang Liu

Soft Prompt Recovers Compressed LLMs, Transferably

Zhaozhuo Xu, Zirui Liu, Beidi Chen et al.

Distributed Active Client Selection With Noisy Clients Using Model Association Scores

Kwang In Kim

Adaptive Group Personalization for Federated Mutual Transfer Learning

Haoqing Xu, Dian Shen, Meng Wang et al.

Graph Neural Networks with Soft Association between Topology and Attribute

Yachao Yang, Yanfeng Sun, Shaofan Wang et al.

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning

Sheng Li, Chao Wu, Ao Li et al.

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.

Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection

Xiaowei Zhao, Xianglong Liu, Duorui Wang et al.

MAP IT to Visualize Representations

Robert Jenssen

United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus

Qiao Zhang, Tao Xiang, Chunsheng Xin 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.

Parsing neural dynamics with infinite recurrent switching linear dynamical systems

Victor Geadah, International Brain Laboratory, Jonathan Pillow

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Zihui Gu, Xingwu Sun, Fengzong Lian et al.

MID-FiLD: MIDI Dataset for Fine-Level Dynamics

Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon et al.

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model

Tijin Yan, Hengheng Gong, Yongping He et al.

CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems

Kerian Thuillier, Anne Siegel, Loïc Paulevé

Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors

Wen Yuan Zhang, Kanle Shi, Yushen Liu et al.

Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing

Gabriel Arpino, Xiaoqi Liu, Ramji Venkataramanan

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.

Sample-Efficient Quality-Diversity by Cooperative Coevolution

Ke Xue, Ren-Jian Wang, Pengyi Li et al.

Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images

Junhao Zhang, Mutian Xu, Jay Zhangjie Wu et al.

An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment

Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg et al.

Small-loss Adaptive Regret for Online Convex Optimization

Wenhao Yang, Wei Jiang, Yibo Wang et al.

Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation

Huyong Wang, Huisi Wu, Jing Qin

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace

Xinyu Yang, Victor Weixin Liang, James Y Zou

Long-tailed Diffusion Models with Oriented Calibration

Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao et al.

ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories

Chen-yi Lu, Shubham Agarwal, Mehrab Tanjim et al.

MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships

Tanglong Zhao, Ruifang He, Jing Xu et al.

Limited-Supervised Multi-Label Learning with Dependency Noise

Yejiang Wang, Yuhai Zhao, Zhengkui 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.

Altruism in Facility Location Problems

Hau Chan, Minming Li, Houyu Zhou

Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation

Lijun Zhang, Kangkang Zhou, Feng Lu et al.

EINet: Point Cloud Completion via Extrapolation and Interpolation

Pingping Cai, Canyu Zhang, LINGJIA SHI et al.

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Jiamin Wu, Xin Liu, Xiaotian Yin et al.

Is a Large Language Model a Good Annotator for Event Extraction?

Ruirui Chen, Chengwei Qin, Weifeng Jiang 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.

Robustness Tokens: Towards Adversarial Robustness of Transformers

Brian Pulfer, Yury Belousov, Slava Voloshynovskiy

Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation

Lingzi Zhang, Xin Zhou, Zhiwei Zeng 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.