Most Cited 2024 "lm agents" Papers

Efficient Bias Mitigation Without Privileged Information

Mateo Espinosa Zarlenga, Sankaranarayanan, Jerone Andrews et al.

Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes

Jingyi Zhang, Qihong Mao, Guosheng Hu et al.

Multi-View Representation is What You Need for Point-Cloud Pre-Training

Siming Yan, Chen Song, Youkang Kong et al.

FaceRSA: RSA-Aware Facial Identity Cryptography Framework

Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.

LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar

Yujeong Chae, HYEONSEONG KIM, Changgyoon Oh et al.

Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models

James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy

DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance

Zixuan Wang, Jia Jia, Shikun Sun et al.

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang et al.

Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.

Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning

Sanjoy Kundu, Shubham Trehan, Sathyanarayanan Aakur

Neuro-Symbolic Temporal Point Processes

Yang Yang, Chao Yang, Boyang Li et al.

Entropy Coding of Unordered Data Structures

Julius Kunze, Daniel Severo, giulio zani et al.

Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks

Changwoo Lee, Hun-Seok Kim

Exploring the LLM Journey from Cognition to Expression with Linear Representations

Yuzi Yan, Jialian Li, YipinZhang et al.

Video Frame Prediction from a Single Image and Events

Juanjuan Zhu, Zhexiong Wan, Yuchao Dai

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Yangzheng Wu, Michael Alan Greenspan

G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images

Zixiong Huang, Qi Chen, Libo Sun et al.

SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning

Runmin Zhang, Jun Ma, Lun Luo et al.

Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation

Junwei Zhang, Ruifang He, Fengyu Guo et al.

Challenges and Considerations in the Evaluation of Bayesian Causal Discovery

Amir Mohammad Karimi Mamaghan, Panagiotis Tigas, Karl Johansson et al.

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin et al.

Local Causal Structure Learning in the Presence of Latent Variables

Feng Xie, Zheng Li, Peng Wu et al.

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions

Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra et al.

Conditional Variational Diffusion Models

Gabriel della Maggiora, Luis A. Croquevielle, Nikita Deshpande et al.

Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit

Shintaro Nakamura, Masashi Sugiyama

Repelling Random Walks

Isaac Reid, Eli Berger, Krzysztof Choromanski et al.

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

Jan-Nico Zaech, Martin Danelljan, Tolga Birdal et al.

EarthLoc: Astronaut Photography Localization by Indexing Earth from Space

Gabriele Berton, Alex Stoken, Barbara Caputo et al.

How to Explore with Belief: State Entropy Maximization in POMDPs

Riccardo Zamboni, Duilio Cirino, Marcello Restelli et al.

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data

Shuvendu Roy, Ali Etemad

Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images

Zhan Lu, Qian Zheng, Boxin Shi et al.

Annealing Self-Distillation Rectification Improves Adversarial Training

Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen

Self-Prompt Mechanism for Few-Shot Image Recognition

Mingchen Song, Huiqiang Wang, Guoqiang Zhong

DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation

Junkai Yan, Yipeng Gao, Qize Yang et al.

Function-space Parameterization of Neural Networks for Sequential Learning

Aidan Scannell, Riccardo Mereu, Paul Chang et al.

Position: AI/ML Influencers Have a Place in the Academic Process

Iain Xie Weissburg, Mehir Arora, Xinyi Wang et al.

A Bayesian Approach to OOD Robustness in Image Classification

Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille

Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence

Ganzhao Yuan

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation

ChenChen Zong, Ye-Wen Wang, Kun-Peng Ning et al.

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning

Dongkwan Kim, Alice Oh

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Songsong Yu, Yifan Wang, Yunzhi Zhuge et al.

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao et al.

Learning Ultrametric Trees for Optimal Transport Regression

SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

Niklas Gard, Anna Hilsmann, Peter Eisert

Towards Meta-Pruning via Optimal Transport

Alexander Theus, Olin Geimer, Friedrich Wicke et al.

Component Fourier Neural Operator for Singularly Perturbed Differential Equations

Ye Li, Ting Du, Yiwen Pang et al.

CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective

Shunsuke Yasuki, Masato Taki

FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions

Jiong WANG, Fengyu Yang, Bingliang Li et al.

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

Tom Sherborne, Naomi Saphra, Pradeep Dasigi et al.

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

Yang Yang, Wenhai Wang, Zhe Chen et al.

The Curse of Diversity in Ensemble-Based Exploration

Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin et al.

Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition

Michael Valancius, Maxwell Lennon, Junier Oliva

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

Yuxiang (YU-HSIANG) LAI, Yi Zhou, Xinghong Liu et al.

Provably Scalable Black-Box Variational Inference with Structured Variational Families

Joohwan Ko, Kyurae Kim, Woo Chang Kim et al.

Optimal Transport for Structure Learning Under Missing Data

Vy Vo, He Zhao, Trung Le et al.

Revisiting Sampson Approximations for Geometric Estimation Problems

Felix Rydell, Angelica Torres, Viktor Larsson

Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model

Yuxuan Liu, Haizhou Ai, Junliang Xing et al.

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing

Haoran Li, Long Ma, Haolin Shi et al.

Contextual Bandits with Online Neural Regression

Rohan Deb, Yikun Ban, Shiliang Zuo et al.

On Convergence of Incremental Gradient for Non-convex Smooth Functions

Anastasiia Koloskova, Nikita Doikov, Sebastian Stich et al.

SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER

Hang Zheng, Qingsong Li, Shen Chen et al.

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu et al.

Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction

Undral Byambadalai, Tatsushi Oka, Shota Yasui

Faster Maximum Inner Product Search in High Dimensions

Mo Tiwari, Ryan Kang, Jaeyong Lee et al.

A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems

Guyard Theo, Cédric Herzet, Clément Elvira et al.

REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes

David Ireland, Giovanni Montana

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.

Unsupervised Object Interaction Learning with Counterfactual Dynamics Models

Jongwook Choi, Sungtae Lee, Xinyu Wang et al.

Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption

Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii et al.

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling

Olaf Dünkel, Tim Salzmann, Florian Pfaff

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks

Jianlang Chen, Xuhong Ren, Qing Guo et al.

PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning

Tianmeng Hu, Biao Luo

Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations

Kewei Wang, Yizheng Wu, Jun Cen et al.

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Haotian Sun, Yuchen Zhuang, Wei Wei et al.

Winner-takes-all learners are geometry-aware conditional density estimators

Victor Letzelter, David Perera, Cédric Rommel et al.

A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces

Tobia Boschi, FRANCESCA BONIN, Rodrigo Ordonez-Hurtado et al.

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee et al.

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance

Liwen Sun, Abhineet Agarwal, Aaron Kornblith et al.

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy Vatolin

Investigating Style Similarity in Diffusion Models

Gowthami Somepalli, Anubhav Anubhav, Kamal Gupta et al.

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations

Ruiquan Huang, Yingbin Liang, Jing Yang

Exploring the Complexity of Deep Neural Networks through Functional Equivalence

Guohao Shen

How Far Can Fairness Constraints Help Recover From Biased Data?

Mohit Sharma, Amit Jayant Deshpande

Analyzing and Improving Optimal-Transport-based Adversarial Networks

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

Uri Stern, Daniel Shwartz, Daphna Weinshall

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual

Ruichu Cai, Yuxuan Zhu, Jie Qiao et al.

ContextRef: Evaluating Referenceless Metrics for Image Description Generation

Elisa Kreiss, Elisa Kreiss, Eric Zelikman et al.

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization

Soumia Boucherouite, Grigory Malinovsky, Peter Richtarik et al.

FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition

Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Shah Mubarak

The Update-Equivalence Framework for Decision-Time Planning

Samuel Sokota, Gabriele Farina, David Wu et al.

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue et al.

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages

Hilal Asi, Vitaly Feldman, Jelani Nelson et al.

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views

Yuji Roh, Qingyun Liu, Huan Gui et al.

RPBG: Towards Robust Neural Point-based Graphics in the Wild

Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng et al.

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts

Yanting Yang, Minghao Chen, Qibo Qiu et al.

Responsibility in Extensive Form Games

Open Vocabulary Multi-Label Video Classification

Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan et al.

Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?

Rosario Leonardi, Antonino Furnari, Francesco Ragusa et al.

Robust Self-calibration of Focal Lengths from the Fundamental Matrix

Viktor Kocur, Daniel Kyselica, Zuzana Kukelova

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

Kaiyi Zhang, Yang Chen, Ximing Yang et al.

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search

Walter Gerych, Yara Rizk, Vatche Isahagian et al.

Self-Cooperation Knowledge Distillation for Novel Class Discovery

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Input Margins Can Predict Generalization Too

Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H Davel

KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning

Junnan Liu, Qianren Mao, Weifeng Jiang et al.

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Unsegment Anything by Simulating Deformation

Jiahao Lu, Xingyi Yang, Xinchao Wang

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization

Xixu Hu, Runkai Zheng, Jindong Wang et al.

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.

Learning to Approximate Adaptive Kernel Convolution on Graphs

Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.

Probabilistic Constrained Reinforcement Learning with Formal Interpretability

YANRAN WANG, QIUCHEN QIAN, David Boyle

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback

Gaurav Pandey, Yatin Nandwani, Tahira Naseem et al.

WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation

Zirui Shao, Feiyu Gao, Hangdi Xing et al.

Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent

Konstantin Donhauser, Javier Abad, Neha Hulkund et al.

Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment

Wulian Yun, Mengshi Qi, Fei Peng et al.

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li et al.

Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training

Shruthi Gowda, Bahram Zonooz, Elahe Arani

DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos

Chunjie Luo, Fei Luo, Yusen Wang et al.

CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation

Hongyang Chen, Kaisheng Ma

Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images

Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu et al.

An Independence-promoting Loss for Music Generation with Language Models

Jean-Marie Lemercier, Simon Rouard, Jade Copet et al.

Major-Minor Mean Field Multi-Agent Reinforcement Learning

Kai Cui, Christian Fabian, Anam Tahir et al.

Convolutional Deep Kernel Machines

Edward Milsom, Ben Anson, Laurence Aitchison

Intensity-Robust Autofocus for Spike Camera

Changqing Su, Zhiyuan Ye, Yongsheng Xiao et al.

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers

Ron Dorfman, Naseem Yehya, Kfir Levy

Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning

Jannik Deuschel, Caleb Ellington, Yingtao Luo et al.

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning

Boning Li, Zhixuan Fang, Longbo Huang

Harnessing Edge Information for Improved Robustness in Vision Transformers

Yanxi Li, Chengbin Du, Chang Xu

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos

Leonhard Sommer, Artur Jesslen, Eddy Ilg et al.

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection

Segmentation-guided Layer-wise Image Vectorization with Gradient Fills

Hengyu Zhou, Hui Zhang, Bin Wang

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Sonny Achten, Francesco Tonin, Panagiotis Patrinos et al.

SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation

Kejia Yin, Varshanth Rao, Ruowei Jiang et al.

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector

Xianren Zhang, Dongwon Lee, Suhang Wang

EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset

Amy Zhao, Chengcheng Tang, Lezi Wang et al.

SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding

Chanho Park, Namyoon Lee

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Sungmin Cha, Kyunghyun Cho, Taesup Moon

Seeing Faces in Things: A Model and Dataset for Pareidolia

Mark T Hamilton, Simon Stent, Vasha G DuTell et al.

On the Evaluation Consistency of Attribution-based Explanations

Jiarui Duan, Haoling Li, Haofei Zhang et al.

Image-to-Lidar Relational Distillation for Autonomous Driving Data

Anas Mahmoud, Ali Harakeh, Steven Waslander

SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation

Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

Unleashing Network Potentials for Semantic Scene Completion

Fengyun Wang, Qianru Sun, Dong Zhang et al.

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection

Zhanwei Zhang, Minghao Chen, Shuai Xiao et al.

SCAPE: A Simple and Strong Category-Agnostic Pose Estimator

Yujia Liang, Zixuan Ye, Wenze Liu et al.

Robust Learning-Augmented Dictionaries

Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks

Junlong Liao, Wenda Fu, Cong Wang et al.

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization

Yexin Zhang, Chenyi Zhang, Cong Fang et al.

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation

Keonhee Han, Dominik Muhle, Felix Wimbauer et al.

HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks

Hai Zhang, Chunwei Wu, Guitao Cao et al.

Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique

TaeHo Yoon, Jaeyeon (Jay) Kim, Jaewook Suh et al.

Confidence Aware Inverse Constrained Reinforcement Learning

Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi et al.

Variational Inference with Coverage Guarantees in Simulation-Based Inference

Yash Patel, Declan McNamara, Jackson Loper et al.

Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis

Tianci Bi, Xiaoyi Zhang, Zhizheng Zhang et al.

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

Rob Geada, David Towers, Matthew Forshaw et al.

Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras

Hoonhee Cho, Sung-Hoon Yoon, Hyeokjun Kweon et al.

Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization

Jooyeol Yun, Choo Jaegul

Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization

Qiang Fu, Ashia Wilson

Minimal Perspective Autocalibration

Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri et al.

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models

Yang Liu

OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks

JINGYANG XIANG, Zuohui Chen, Siqi Li et al.

Efficient Training with Denoised Neural Weights

Yifan Gong, Zheng Zhan, Yanyu Li et al.

HiGen: Hierarchical Graph Generative Networks

Mahdi Karami

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition

Ka Ho Chow, Sihao Hu, Tiansheng Huang et al.

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

Jiaxu Wang, Ziyi Zhang, Renjing Xu

GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers

Manu S Pillai, Mamshad Nayeem Rizve, Shah Mubarak

Local and Global Flatness for Federated Domain Generalization

Hao Yan, Yuhong Guo

Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction

Rui Peng, Shihe Shen, Kaiqiang Xiong et al.

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans

Romain Loiseau, Elliot Vincent, Mathieu Aubry et al.

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

Direct Amortized Likelihood Ratio Estimation

Adam Cobb, Brian Matejek, Daniel Elenius et al.

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning

Jihai Zhang, Xiang Lan, Xiaoye Qu et al.

Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements

Niccolò Biondi, Federico Pernici, Simone Ricci et al.

TPA3D: Triplane Attention for Fast Text-to-3D Generation

Bin-Shih Wu, HONG-EN CHEN, Sheng-Yu Huang et al.

Cross-Domain Learning for Video Anomaly Detection with Limited Supervision

Yashika Jain, Ali Dabouei, Min Xu

Reprojection Errors as Prompts for Efficient Scene Coordinate Regression

Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu et al.

Online bipartite matching with imperfect advice

Davin Choo, Themis Gouleakis, Chun Kai Ling et al.

Chasing Convex Functions with Long-term Constraints

Adam Lechowicz, Nicolas Christianson, Bo Sun et al.

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces

Omer Nahum, Gali Noti, David Parkes et al.

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions

Sohyun Lee, Namyup Kim, Sungyeon Kim et al.

Hyperspherical Classification with Dynamic Label-to-Prototype Assignment

Mohammad Saadabadi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan et al.

Learning Not to Regret

David Sychrovský, Michal Sustr, Elnaz Davoodi et al.

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation

zhe zhao, Mengshi Qi, Huadong Ma

3D Reconstruction with Generalizable Neural Fields using Scene Priors

Yang Fu, Shalini De Mello, Xueting Li et al.

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li et al.

OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation

Xiongwei Wu, Sicheng Yu, Ee-Peng Lim et al.

Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

Ahmet Alacaoglu, Donghwan Kim, Stephen Wright

Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input

Andi Peng, Yuying Sun, Tianmin Shu et al.

Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions

Teemu Hankala, Miika Hannula, Juha Kontinen et al.

LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

Yiming Ren, Xiao Han, Yichen Yao et al.

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi et al.

DiaLoc: An Iterative Approach to Embodied Dialog Localization

Chao Zhang, Mohan Li, Ignas Budvytis et al.

Nonlinear Filtering with Brenier Optimal Transport Maps

Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini et al.

Weakly-supervised Audio Separation via Bi-modal Semantic Similarity

Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida et al.

Learning Discrete-Time Major-Minor Mean Field Games

Kai Cui, Gökçe Dayanıklı, Mathieu Laurière et al.

Adversarial Feature Map Pruning for Backdoor

Dong HUANG, Qingwen Bu

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning

Ray Zhang, Zheming Zhou, Min Sun et al.

Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation

Haozhi Cao, Yuecong Xu, Jianfei Yang et al.

Maximizing the Success Probability of Policy Allocations in Online Systems

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.

Masked AutoDecoder is Effective Multi-Task Vision Generalist

Han Qiu, Jiaxing Huang, Peng Gao et al.

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability

Songyao Jin, Feng Xie, Guangyi Chen et al.