Most Cited 2024 "parametric map optimization" Papers

A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles

Phillip Kerger, Marco Molinaro, Hongyi Jiang et al.

On Trajectory Augmentations for Off-Policy Evaluation

Ge Gao, Qitong Gao, Xi Yang et al.

Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks

Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging

Dalong Chen, Jianjia Zhang, Wei-shi Zheng et al.

End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding

Hai Wan, Pingjia Liang, Jianfeng Du et al.

Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness

Samir Khan, Martin Saveski, Johan Ugander

Boundary Denoising for Video Activity Localization

Mengmeng Xu, Mattia Soldan, Jialin Gao et al.

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction

Mengpu Liu, Mengying Zhu, Xiuyuan Wang et al.

An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

Building Vision-Language Models on Solid Foundations with Masked Distillation

Sepehr Sameni, Kushal Kafle, Hao Tan et al.

Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning

Do-Yeon Kim, Dong-Jun Han, Jun Seo et al.

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation

Bin Shang, Yinliang Zhao, Jun Liu et al.

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang et al.

Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs

Mingyu Kim, Kim Jun-Seong, Se-Young Yun et al.

SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement

Tao Wang, Lei Jin, Zheng Wang et al.

To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination

Manley Roberts, Himanshu Thakur, Christine Herlihy et al.

Clustered Federated Learning via Gradient-based Partitioning

Heasung Kim, Hyeji Kim, Gustavo De Veciana

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Fei Ye, Adrian Bors

ADOPD: A Large-Scale Document Page Decomposition Dataset

Jiuxiang Gu, Xiangxi Shi, Jason Kuen et al.

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis

Mingshan Chang, Min Yang, Qingshan Jiang et al.

Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient

Ju-Hyun Kim, Seungki Min

Neural SDF Flow for 3D Reconstruction of Dynamic Scenes

wei mao, Richard Hartley, Mathieu Salzmann et al.

Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption

Jae-yun Kim, Saerom Park, Joohee Lee et al.

Neural Architecture Retrieval

Xiaohuan Pei, Yanxi Li, Minjing Dong et al.

Sparse MoE with Language Guided Routing for Multilingual Machine Translation

Xinyu Zhao, Xuxi Chen, Yu Cheng et al.

1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness

Bernd Prach, Fabio Brau, Giorgio Buttazzo et al.

Discovering Features with Synergistic Interactions in Multiple Views

Chohee Kim, M van der Schaar, Changhee Lee

MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation

Xiaolong Deng, Huisi Wu, Runhao Zeng et al.

Weakly-Supervised Mirror Detection via Scribble Annotations

Mingfeng Zha, Yunqiang Pei, Guoqing Wang et al.

OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-resolution

Yang Wang, Tao Zhang

Towards the Robustness of Differentially Private Federated Learning

Tao Qi, Huili Wang, Yongfeng Huang

FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models

Ao Luo, XIN LI, Fan Yang et al.

Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models

Pablo Pernías, Dominic Rampas, Mats L. Richter et al.

A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model

Zecheng Hao, Xinyu Shi, Zihan Huang et al.

Spline-based Transformers

Prashanth Chandran, Agon Serifi, Markus Gross et al.

Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy

Dae Jun Kang, Dongsuk Kum, Sanmin Kim

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes

Jiawei Sun, Kailai Li, Ruoxin Chen et al.

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names

Yapeng Li, Yong Luo, Zengmao Wang et al.

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic

Maximilian Pflüger, David Tena Cucala, Egor Kostylev

Class Probability Matching with Calibrated Networks for Label Shift Adaption

Hongwei Wen, Annika Betken, Hanyuan Hang

The Computational Complexity of Finding Second-Order Stationary Points

Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos et al.

convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data

Roman Koshkin, Tomoki Fukai

A General Online Algorithm for Optimizing Complex Performance Metrics

Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis et al.

SceneTeller: Language-to-3D Scene Generation

Basak Melis Ocal, Maxim Tatarchenko, Sezer Karaoglu et al.

KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations

Longxin Kou, Fei Ni, Yan Zheng et al.

U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

Ritwik Vashistha, Arya Farahi

Affine Equivariant Networks Based on Differential Invariants

Yikang Li, Yeqing Qiu, Yuxuan Chen et al.

Geometry-Aware Instrumental Variable Regression

Heiner Kremer, Bernhard Schölkopf

Semantic-Aware Transformation-Invariant RoI Align

Guo-Ye Yang, Kiyohiro Nakayama, Zi-Kai Xiao et al.

You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification

Yongqiang Zheng, Xia Li

M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

Bin Pu, Liwen Wang, Jiewen Yang et al.

ZeRO++: Extremely Efficient Collective Communication for Large Model Training

Guanhua Wang, Heyang Qin, Sam Jacobs et al.

Learning to Segment Referred Objects from Narrated Egocentric Videos

Yuhan Shen, Huiyu Wang, Xitong Yang et al.

Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction

Jianping Zhu, Xin Guo, Yang Chen et al.

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning

Weihao Tan, Wentao Zhang, Shanqi Liu et al.

Sampling-Resilient Multi-Object Tracking

Zepeng Li, Dongxiang Zhang, Sai Wu et al.

RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation

Wensi Liu, Xiao-Yu Tang, Chong Yang et al.

Robust Inverse Graphics via Probabilistic Inference

Tuan Anh Le, Pavel Sountsov, Matthew Hoffman et al.

Knowledge Graphs Can be Learned with Just Intersection Features

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

Run-Time Task Composition with Safety Semantics

Kevin Leahy, Makai Mann, Zachary Serlin

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders

Junru Song, Yang Yang, Wei Peng et al.

Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation

Jae-Hong Lee, Joon Hyuk Chang

Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency

Yannis Kalantidis, Mert Bulent SARIYILDIZ, Rafael Rezende et al.

The Trickle-down Impact of Reward Inconsistency on RLHF

Lingfeng Shen, Lingfeng Shen, Sihao Chen et al.

Exact Fusion via Feature Distribution Matching for Few-shot Image Generation

Yingbo Zhou, Yutong Ye, Pengyu Zhang et al.

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games

Stephen McAleer, John Banister Lanier, Kevin A. Wang et al.

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao et al.

FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction

Yuxing Tian, Yiyan Qi, Fan Guo

Supervised Matrix Factorization: Local Landscape Analysis and Applications

Joowon Lee, Hanbaek Lyu, Weixin Yao

FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences

Haobo Xu, Jun Zhou, Hua Yang et al.

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Zi Wang, Huaibo Huang, Aihua Zheng et al.

StrWAEs to Invariant Representations

Hyunjong Lee, Yedarm Seong, Sungdong Lee et al.

Linking in Style: Understanding learned features in deep learning models

Maren Wehrheim, Pamela Osuna Vargas, Matthias Kaschube

Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization

Deokjae Lee, Hyun Oh Song, Kyunghyun Cho

Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images

WEI SHAO, YangYang Shi, Daoqiang Zhang et al.

Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning

Joey Hejna, Rafael Rafailov, Harshit Sikchi et al.

SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing

Wenmin Huang, Weiqi Luo, Jiwu Huang et al.

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance

Yuyao Zhang, Lan Wei, Nikolaos Freris

Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations

yisheng xiao, Juntao Li, Zechen Sun et al.

Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes

Liqiong Wang, Jinyu Yang, Yanfu Zhang et al.

DetKDS: Knowledge Distillation Search for Object Detectors

Lujun Li, Yufan Bao, Peijie Dong et al.

Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation

Boheng Li, Yishuo Cai, Jisong Cai et al.

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset

Haolong Li, Chenghao Du, Ziheng Jiang et al.

Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing

Yue Guan, Mohammad Afshari, Panagiotis Tsiotras

Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

Active Retrosynthetic Planning Aware of Route Quality

Luotian Yuan, Yemin Yu, Ying Wei et al.

Data Poisoning Attacks against Conformal Prediction

Yangyi Li, Aobo Chen, Wei Qian et al.

Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion

Yujie Xue, Ruihui Li, F anWu et al.

Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG

Jonas Seng, Matej Zečević, Devendra Singh Dhami et al.

A Unified Framework for Bayesian Optimization under Contextual Uncertainty

Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano et al.

Positive and Unlabeled Learning with Controlled Probability Boundary Fence

Changchun Li, Yuanchao Dai, Lei Feng et al.

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao et al.

Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning

Simon Dold, Malte Helmert

Compressing Latent Space via Least Volume

Qiuyi Chen, Mark Fuge

Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection

yuxin li, Yaoxuan Feng, Bo Chen et al.

Graph Structure Extrapolation for Out-of-Distribution Generalization

Xiner Li, Shurui Gui, Youzhi Luo et al.

Value-Evolutionary-Based Reinforcement Learning

Pengyi Li, Jianye Hao, Hongyao Tang et al.

High-Fidelity Gradient Inversion in Distributed Learning

Zipeng Ye, Wenjian Luo, Qi Zhou et al.

Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging

Wenhua Wu, Kun Hu, Wenxi Yue et al.

Unsupervised Representation Learning by Balanced Self Attention Matching

Daniel Shalam, Simon Korman

Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models

Shikun Sun, Longhui Wei, Zhicai Wang et al.

LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer

Guangyi Chen, Yuke Li, Xiao Liu et al.

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Na FAN, Zeyue Tian, Amartansh DUBEY et al.

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning

1903 Yiqi Dong, Dongxiao He, Xiaobao Wang et al.

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection

2964 Jun Wei, S. Kevin Zhou, Shuguang Cui et al.

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective

Baohong Li, Haoxuan Li, Anpeng Wu et al.

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias

Baohong Li, Haoxuan Li, Ruoxuan Xiong et al.

DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression Approach

Dayi Tan, Hansheng Chen, Wei Tian et al.

Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation

Lan Li, Xin-Chun Li, Han-Jia Ye et al.

Occluded Person Re-identification via Saliency-Guided Patch Transfer

821 Lei Tan, Jiaer Xia, Wenfeng Liu et al.

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning

Feiyang YE, YUEMING LYU, Xuehao Wang et al.

SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain

9044 Zhifeng Zhu, Yaochen Li, Yifan Li et al.

ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments

Jingyu Zhang, Kun Yang, Yilei Wang et al.

Concentration Inequalities for General Functions of Heavy-Tailed Random Variables

Shaojie Li, Yong Liu

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once

Zhangheng Li, Shiwei Liu, Tianlong Chen et al.

Structural Entropy Based Graph Structure Learning for Node Classification

13155 Liang Duan, Xiang Chen, Wenjie Liu et al.

Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking

Yongxin Li, Mengyuan Liu, You Wu et al.

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

12620 Kyle Mana, Fernando Acero, Stephen Mak et al.

Neural Neighborhood Search for Multi-agent Path Finding

Zhongxia Yan, Cathy Wu

Bayesian Inference with Complex Knowledge Graph Evidence

12846 Armin Toroghi, Scott Sanner

Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi

Kangwei Yan, Fei Wang, Bo Qian et al.

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

10576 Yuheng Jia, Xiaorui Peng, Ran Wang et al.

Towards More Likely Models for AI Planning

11625 Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.

DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval

Ji Li, Chao Wang

Generation and Classification Reframing

Fenglong Ma, Hongyang Chen, Hong Yu et al.

Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach

Zhihao Li, Yufei Wang, Alex Kot et al.

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning

Xi Zeng, Xiaotian Hao, Hongyao Tang et al.

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning

Chen BAI, Jianwang Zhai, Yuzhe Ma et al.

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation

QiHao Xu, Xiaoling Luo, Chao Huang et al.

BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition

Yuxuan Zhou, Xudong Yan, Zhi-Qi Cheng et al.

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax

Philipp Holl, Nils Thuerey

Efficient Vision Transformers with Partial Attention

Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana et al.

Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias

Baohong Li, Anpeng Wu, Ruoxuan Xiong et al.

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows

Dongjin Kim, Donggoo Jung, Sungyong Baik et al.

Cross-Domain Contrastive Learning for Time Series Clustering

Furong Peng, Jiachen Luo, Xuan Lu et al.

Local Composite Saddle Point Optimization

Site Bai, Brian Bullins

Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process

Zichong Li, Qunzhi Xu, Zhenghao Xu et al.

Statistical Properties of Robust Satisficing

zhiyi li, Yunbei Xu, Ruohan Zhan

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation

Ziqi Wang, Chengpeng Hu, Jialin Liu et al.

HIT: Estimating Internal Human Implicit Tissues from the Body Surface

Marilyn Keller, Vaibhav ARORA, Abdelmouttaleb Dakri et al.

Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation

Ofer Arieli, Kees van Berkel, Christian Straßer

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting

Zhiliang Wu, Changchang Sun, Hanyu Xuan et al.

Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis

Yingying Li, Jing Yu, Lauren Conger et al.

Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference

Fabing Li, Yuanhao Zhai, Shuangyu Cai et al.

Learning Multi-Task Sparse Representation Based on Fisher Information

Yayu Zhang, Yuhua Qian, Guoshuai Ma et al.

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

Shenshen Li, Chen He, Xing Xu et al.

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search

Pengyi Li, Yan Zheng, Hongyao Tang et al.

Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses

Shaojie Li, Bowei Zhu, Yong Liu

Receptive Fields As Experts in Convolutional Neural Architectures

Dongze Lian, Weihao Yu, Xinchao Wang

Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling

Jiayang Liu, Yiming Bu, Daniel Tso et al.

Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework

Wei Suo, Lanqing Lai, Mengyang Sun et al.

Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery

Chao Wang, Zhedong Zheng, Ruijie Quan et al.

Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning

Fan Qi, Shuai Li

On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis

Fangshuo Liao, J. Lyle Kim, Cruz Barnum et al.

PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Xuan Ju, Ailing Zeng, Yuxuan Bian et al.

Graph Geometry-Preserving Autoencoders

Jungbin Lim, Jihwan Kim, Yonghyeon Lee et al.

Neural Rate Control for Learned Video Compression

yiwei zhang, Guo Lu, Yunuo Chen et al.

VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition

Chenyu Liu, XINLIANG ZHOU, Zhengri Zhu et al.

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation

Zhilong Zhang, Yihao Sun, Junyin Ye et al.

CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On

Chenghu Du, Junyin Wang, Yi Rong et al.

Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC

Wu Lin, Felix Dangel, Runa Eschenhagen et al.

Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain

Quanrui Rao, Lin Wang, Wuying Liu

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning

Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation

Clinton Mo, Kun Hu, Chengjiang Long et al.

HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network

Bor Jiun Lin, Chun-Yi Lee

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games

Pengdeng Li, Runsheng Yu, Xinrun Wang et al.

TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement

Yang Fan, Xiangping Wu, Qingcai Chen et al.

Learning Cluster-Wise Anchors for Multi-View Clustering

Chao Zhang, Xiuyi Jia, Zechao Li et al.

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation

Haitao Lin, Lirong Wu, Yufei Huang et al.

CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment

Xun Jiang, zhuomin chai, Yuxiang Zhao et al.

FedInverse: Evaluating Privacy Leakage in Federated Learning

DI WU, Jun Bai, Yiliao Song et al.

Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction

Liu Xiaoyi, Duxin Chen, Wenjia Wei et al.

PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving

Xinshuo Weng, Boris Ivanovic, Yan Wang et al.

Improving Unsupervised Hierarchical Representation with Reinforcement Learning

Ruyi An, Yewen Li, Xu He et al.

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification

Xixun Lin, Wenxiao Zhang, Fengzhao Shi et al.

Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception

TIANYOU LUO, Quan Yuan, Yuchen Xia et al.

An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models

Haochen Luo, Jindong Gu, Fengyuan Liu et al.

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji et al.

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding

Zhen Chen, Dalin Zhang, Shanshan Feng et al.

Reinforcement Learning via Auxillary Task Distillation

Abhinav Narayan Harish, Larry Heck, Josiah P Hanna et al.

Stitching Segments and Sentences towards Generalization in Video-Text Pre-training

Fan Ma, Xiaojie Jin, Heng Wang et al.

Other Papers

SoftCLIP: Softer Cross

Modal Alignment Makes CLIP Stronger

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization

Zhuanghua Liu, Cheng Chen, Luo Luo et al.

ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection

Hongyu Liu, Runmin Cong, Hua Li et al.

Generalizable Symbolic Optimizer Learning

Xiaotian Song, Peng Zeng, Yanan Sun et al.

Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning

Jiechao GUAN, Hui Xiong

Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing

Minyang Hu, Hong Chang, Bingpeng Ma et al.

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross

Domain Recommendation

The Irrelevance of Influencers: Information Diffusion with Re

Activation and Immunity Lasts Exponentially Long on Social Network Models

Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation

Yuanwei Liu, Junwei Han, Xiwen Yao et al.

Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation

Jiashun Liu, Jianye Hao, Yi Ma et al.

FedHCA2: Towards Hetero-Client Federated Multi-Task Learning

Yuxiang Lu, Suizhi Huang, Yuwen Yang et al.

ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models

Limin Liu, Shuai He, Anlong Ming et al.

On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors

Ruipeng Liu, Borui He, Naveed Tahir et al.

Graph Transformers on EHRs: Better Representation Improves Downstream Performance

Raphael Poulain, Rahmatollah Beheshti

Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy

Yi Liu, Qirui Hu, Linglong Kong

Can Large Language Models Understand Real

World Complex Instructions?