Most Cited 2024 "large-scale sparse problems" Papers

Non-autoregressive Sequence-to-Sequence Vision-Language Models

Kunyu Shi, Qi Dong, Luis Goncalves et al.

3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces

Linyi Jin, Nilesh Kulkarni, David Fouhey

UniFS: Universal Few-shot Instance Perception with Point Representations

Sheng Jin, Ruijie Yao, Lumin Xu et al.

On the Second-Order Convergence of Biased Policy Gradient Algorithms

Siqiao Mu, Diego Klabjan

Generalizable Novel-View Synthesis using a Stereo Camera

Haechan Lee, Wonjoon Jin, Seung-Hwan Baek et al.

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment

yuanbang liang, Bhavesh Garg, Paul L. Rosin et al.

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding

Alessandro Achille, Greg Ver Steeg, Tian Yu Liu et al.

WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting

Jingjing Wu, Zhengyao Fang, Pengyuan Lyu et al.

Low-Rank Knowledge Decomposition for Medical Foundation Models

Yuhang Zhou, Haolin li, Siyuan Du et al.

PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture

Zhuojun Li, Chun Yu, Chen Liang et al.

Gambling-Based Confidence Sequences for Bounded Random Vectors

Jongha (Jon) Ryu, Gregory Wornell

Rolling Shutter Correction with Intermediate Distortion Flow Estimation

Mingdeng Cao, Sidi Yang, Yujiu Yang et al.

Bayesian Exploration Networks

Mattie Fellows, Brandon Kaplowitz, Christian Schroeder de Witt et al.

3D Human Pose Estimation via Non-Causal Retentive Networks

Kaili Zheng, Feixiang Lu, Yihao Lv et al.

Multi-modal Relation Distillation for Unified 3D Representation Learning

Huiqun Wang, Yiping Bao, Panwang Pan et al.

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

Jinfeng Xu, Siyuan Yang, Xianzhi Li et al.

Differentiable Model Scaling using Differentiable Topk

Kai Liu, Ruohui Wang, Jianfei Gao et al.

Visual Grounding for Object-Level Generalization in Reinforcement Learning

Haobin Jiang, Zongqing Lu

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation

Bochao Liu, Pengju Wang, Shiming Ge

SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing

Tomoki Ichikawa, Shohei Nobuhara, Ko Nishino

QueryCDR: Query-based Controllable Distortion Rectification Network for Fisheye Images

Pengbo Guo, Chengxu Liu, Xingsong Hou et al.

Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference

Qian Liang, Yan Chen, Yang Hu

Generalization Error of Graph Neural Networks in the Mean-field Regime

Gholamali Aminian, Yixuan He, Gesine Reinert et al.

Building Optimal Neural Architectures using Interpretable Knowledge

Keith Mills, Fred Han, Mohammad Salameh et al.

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter

Suqi Song, Chenxu Zhang, Peng Zhang et al.

Neural NeRF Compression

Tuan Pham, Stephan Mandt

Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers

Zhao Yutian, Tianjing Zhang, Hui JI

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning

Johnathan Xie, Yoonho Lee, Annie Chen et al.

Set Learning for Accurate and Calibrated Models

Lukas Muttenthaler, Robert A Vandermeulen, Qiuyi (Richard) Zhang et al.

Contrastive Learning with Synthetic Positives

Dewen Zeng, Xinrong Hu, Yawen Wu et al.

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning

Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.

Dynamic Spiking Graph Neural Networks

Yin Nan, Mengzhu Wang, Zhenghan Chen et al.

Scaling Convex Neural Networks with Burer-Monteiro Factorization

Arda Sahiner, Tolga Ergen, Batu Ozturkler et al.

Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits

Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training

Xi Chen, Chang Gao, Zuowen Wang et al.

A Graph Dynamics Prior for Relational Inference

Liming Pan, Cheng Shi, Ivan Dokmanic

Gradual Optimization Learning for Conformational Energy Minimization

Artem Tsypin, Leonid A. Ugadiarov, Kuzma Khrabrov et al.

Gravity-aligned Rotation Averaging with Circular Regression

Linfei Pan, Marc Pollefeys, Daniel Barath

InfoCon: Concept Discovery with Generative and Discriminative Informativeness

Ruizhe Liu, Qian Luo, Yanchao Yang

Stitched ViTs are Flexible Vision Backbones

Zizheng Pan, Jing Liu, Haoyu He et al.

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan et al.

Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality

Kyu Ri Park, Hong Joo Lee, Jung Uk Kim

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images

Jinsung Jeon, Hyundong Jin, Jonghyun Choi et al.

Distributed Manifold Hashing for Image Set Classification and Retrieval

Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

Junghun Cha, Ali Haider, Seoyun Yang et al.

f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization

Sina Baharlouei, Shivam Patel, Meisam Razaviyayn

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning

Hyungho Na, IL CHUL MOON

Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks

Jie Hu, Vishwaraj Doshi, Do Young Eun

NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction

Dong Wei, Huaijiang Sun, Xiaoning Sun et al.

Self-Training Room Layout via Geometry-aware Ray-casting

Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang et al.

Atom-Level Optical Chemical Structure Recognition with Limited Supervision

Martijn Oldenhof, Edward De Brouwer, Adam Arany et al.

Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding

Jiangtao Zhang, Zongsheng Yue, Hui Wang et al.

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces

Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.

GroupDiff: Diffusion-based Group Portrait Editing

Yuming Jiang, Nanxuan Zhao, Qing Liu et al.

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.

Online Variational Sequential Monte Carlo

Alessandro Mastrototaro, Jimmy Olsson

Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression

Dingyuan Zhang, Dingkang Liang, Zichang Tan et al.

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

A Framework for Inference Inspired by Human Memory Mechanisms

Xiangyu Zeng, Jie Lin, Piao Hu et al.

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Towards Establishing Guaranteed Error for Learned Database Operations

Sepanta Zeighami, Cyrus Shahabi

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging

Miao Cao, Lishun Wang, Huan Wang et al.

Graph As Point Set

Xiyuan Wang, Pan Li, Muhan Zhang

Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need

Shangda Yang, Vitaly Zankin, Maximilian Balandat et al.

On the Weight Dynamics of Deep Normalized Networks

Christian H.X. Ali Mehmeti-Göpel, Michael Wand

Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data

Junha Song, Tae Soo Kim, Junha Kim et al.

RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning

Yukinari Hisaki, Isao Ono

Dual-Camera Smooth Zoom on Mobile Phones

Renlong Wu, Zhilu Zhang, Yu Yang et al.

Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights

Shunqi Mao, Chaoyi Zhang, Hang Su et al.

PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking

Jiahuan Long, Tingsong Jiang, Wen Yao et al.

A Probabilistic Framework for Modular Continual Learning

Lazar Valkov, Akash Srivastava, Swarat Chaudhuri et al.

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms

Ruixiao Zhang, Tianchi Huang

Understanding the Training Speedup from Sampling with Approximate Losses

Rudrajit Das, Xi Chen, Bertram Ieong et al.

From Neurons to Neutrons: A Case Study in Interpretability

Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz et al.

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation

Weike Fang, Zhejian Zhou, Junzhou He et al.

Emergent Communication for Numerical Concepts Generalization

Enshuai Zhou, Yifan Hao, Rui Zhang et al.

Counterfactual Metarules for Local and Global Recourse

Tom Bewley, Salim I. Amoukou, Saumitra Mishra et al.

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation

Nianzu Yang, Kaipeng Zeng, Haotian Lu et al.

Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval

Fan Zhang, Xian-Sheng Hua, Chong Chen et al.

Theoretical Understanding of Learning from Adversarial Perturbations

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain

Yiming Gao, Feiyu Liu, Liang Wang et al.

MultiGen: Zero-shot Image Generation from Multi-modal Prompts

Zhi-Fan Wu, Lianghua Huang, Wei Wang et al.

Labeled Data Selection for Category Discovery

Bingchen Zhao, Nico Lang, Serge Belongie et al.

Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching

Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia et al.

Input-gradient space particle inference for neural network ensembles

Trung Trinh, Markus Heinonen, Luigi Acerbi et al.

Efficient Learning in Polyhedral Games via Best-Response Oracles

Darshan Chakrabarti, Gabriele Farina, Christian Kroer

Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising

Guanting Dong, Yueyi Zhang, Xiaoyan Sun et al.

Tiny Models are the Computational Saver for Large Models

Qingyuan Wang, Barry Cardiff, Antoine Frappé et al.

Learning Planning Abstractions from Language

Weiyu Liu, Geng Chen, Joy Hsu et al.

Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding

Sai Wang, Yutian Lin, Yu Wu

NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition

Chenyu Liu, Jia Pan, Jinshui Hu et al.

Perceptual Group Tokenizer: Building Perception with Iterative Grouping

Zhiwei Deng, Ting Chen, Yang Li

HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction

Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos et al.

Multi-Modal Video Dialog State Tracking in the Wild

Mohamed Adnen Abdessaied, Lei Shi, Andreas Bulling

Combining Generative and Geometry Priors for Wide-Angle Portrait Correction

Lan Yao, Chaofeng Chen, Xiaoming Li et al.

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit

Duanyi YAO, Songze Li, Ye XUE et al.

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions

Jin Gao, Lei Gan, Yuankai Li et al.

ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations

Rwiddhi Chakraborty, Adrian de Sena Sletten, Michael C. Kampffmeyer

Efficient Stochastic Approximation of Minimax Excess Risk Optimization

Lijun Zhang, Haomin Bai, Wei-Wei Tu et al.

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds

Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.

Dataset Growth

Ziheng Qin, zhaopan xu, YuKun Zhou et al.

Neural Surface Detection for Unsigned Distance Fields

Federico Stella, Nicolas Talabot, Hieu Le et al.

Learning Causal Dynamics Models in Object-Oriented Environments

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Ximei Wang, Junwei Pan, Xingzhuo Guo et al.

Event-Based Motion Magnification

Yutian Chen, Shi Guo, Yu Fangzheng et al.

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Zaid Tasneem, Akshat Dave, Abhishek Singh et al.

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion

Guansong Lu, Yuanfan Guo, Jianhua Han et al.

Friendly Attacks to Improve Channel Coding Reliability

Anastasiia Kurmukova, Deniz Gunduz

ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression

Guangchi Fang, Qingyong Hu, Longguang Wang et al.

UniPTS: A Unified Framework for Proficient Post-Training Sparsity

JingJing Xie, Yuxin Zhang, Mingbao Lin et al.

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings

Yihao Xue, Ali Payani, Yu Yang et al.

Big Learning Expectation Maximization

Yulai Cong, Sijia Li

Unravelling Expressive Delegations: Complexity and Normative Analysis

Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind

On the Joint Interaction of Models, Data, and Features

Yiding Jiang, Christina Baek, J Kolter

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

Improving SAM Requires Rethinking its Optimization Formulation

Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos et al.

Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach

Sagar Shrestha, Xiao Fu

Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs

Milan Papez, Martin Rektoris, Vaclav Smidl et al.

RSL-BA: Rolling Shutter Line Bundle Adjustment

Yongcong Zhang, Bangyan Liao, Yifei Xue et al.

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior

Qihang Fang, Yafei Song, Keqiang Li et al.

On the generalization capacity of neural networks during generic multimodal reasoning

Takuya Ito, Soham Dan, Mattia Rigotti et al.

PAPR in Motion: Seamless Point-level 3D Scene Interpolation

Shichong Peng, Yanshu Zhang, Ke Li

Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments

Churan Zhi, Junbao Zhuo, Shuhui Wang

Scalable Motion Style Transfer with Constrained Diffusion Generation

Wenjie Yin, Yi Yu, Hang Yin et al.

HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming

Yang Wu, Yifan Zhang, Zhenxing Liang et al.

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

Qingyuan Wu, Simon Zhan, Yixuan Wang et al.

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Colin Sullivan, Mo Tiwari, Sebastian Thrun

Path Choice Matters for Clear Attributions in Path Methods

Borui Zhang, Wenzhao Zheng, Jie Zhou et al.

ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition

Tianhao Wu, Chuanxia Zheng, Qianyi Wu et al.

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype

Yanhe Liu, Peng Wang, Ke Wenjun et al.

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

Mingkang Zhu, Xi Chen, Zhongdao Wang et al.

Competition among Pairwise Lottery Contests

Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.

Stability-Informed Initialization of Neural Ordinary Differential Equations

Theodor Westny, Arman Mohammadi, Daniel Jung et al.

M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions

Mingsheng Li, Xin Chen, Chi Zhang et al.

Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor

Andrea Conti, Matteo Poggi, Valerio CAMBARERI et al.

A Fast and Provable Algorithm for Sparse Phase Retrieval

Jian-Feng Cai, Yu Long, Ruixue WEN et al.

One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models

Sheng-Jun Huang, Yi Li, Yiming Sun et al.

Optimal Kernel Choice for Score Function-based Causal Discovery

Wenjie Wang, Biwei Huang, Feng Liu et al.

Stable Model Semantics for Description Logic Terminologies

Federica Di Stefano, Mantas Simkus

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning

Yeongwoo Song, Hawoong Jeong

Diffusion Models as Data Mining Tools

Ioannis Siglidis, Aleksander Holynski, Alexei Efros et al.

On Universally Optimal Algorithms for A/B Testing

Po-An Wang, Kaito Ariu, Alexandre Proutiere

Molecular Optimization Model with Patentability Constraint

Sally Turutov, Kira Radinsky

Towards Unified Multi-granularity Text Detection with Interactive Attention

Xingyu Wan, Chengquan Zhang, Pengyuan Lyu et al.

Temporal Generalization Estimation in Evolving Graphs

Bin Lu, Tingyan Ma, Xiaoying Gan et al.

Pose Modulated Avatars from Video

Chunjin Song, Bastian Wandt, Helge Rhodin

Parameterized Projected Bellman Operator

Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.

Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance

Kelvin C.K. Chan, Yang Zhao, Xuhui Jia et al.

s-ID: Causal Effect Identification in a Sub-population

Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems

Jiaqian Li, Minming Li, Hau Chan

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

Jiahao Wang, Caixia Yan, Weizhan Zhang et al.

Backward Responsibility in Transition Systems Using General Power Indices

Christel Baier, Roxane van den Bossche, Sascha Klüppelholz et al.

Wasserstein Differential Privacy

Chengyi Yang, Jiayin Qi, Aimin Zhou

Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem

Zhentao Tan, Yadong Mu

Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration

Dongwon Park, Hayeon Kim, Se Young Chun

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

CoLAL: Co-learning Active Learning for Text Classification

Linh Le, Genghong Zhao, Xia Zhang et al.

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models

Yangyu Wu, Xu Han, Wei Song et al.

JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention

Brian Cheong, Jiachen Zhou, Steven Waslander

12087 Limitations of Face Image Generation

Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.

The Balanced-Pairwise-Affinities Feature Transform

Daniel Shalam, Simon Korman

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao et al.

PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer

Wenting Cui, Runzhao Yao, Shaoyi Du

A General Theoretical Framework for Learning Smallest Interpretable Models

Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.

Decomposable Submodular Maximization in Federated Setting

Akbar Rafiey

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints

Dan Qiao, Yu-Xiang Wang

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan et al.

Learning to Remove Cuts in Integer Linear Programming

Pol Puigdemont, EFSTRATIOS PANTELEIMON SKOULAKIS, Grigorios Chrysos et al.

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization

Kwang-Sung Jun, Jungtaek Kim

Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization

Xi Yang, Songsong Duan, Nannan Wang et al.

Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach

Johan Peralez, Aurélien Delage, Olivier Buffet et al.

Layer-Wise Representation Fusion for Compositional Generalization

Yafang Zheng, Lei Lin, Shuangtao Li et al.

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers

Anselm Paulus, Georg Martius, Vit Musil

Improving Factual Error Correction by Learning to Inject Factual Errors

Xingwei He, Qianru Zhang, A-Long Jin et al.

The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm

Giseung Park, woohyeon Byeon, Seongmin Kim et al.

Personalized Reinforcement Learning with a Budget of Policies

Dmitry Ivanov, Omer Ben-Porat

CurveCloudNet: Processing Point Clouds with 1D Structure

Colton Stearns, Alex Fu, Jiateng Liu et al.

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Test-Time Regret Minimization in Meta Reinforcement Learning

Mirco Mutti, Aviv Tamar

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy

MA-Net: Rethinking Neural Unit in the Light of Astrocytes

Mengqiao Han, Liyuan Pan, Xiabi Liu

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.

Best Arm Identification for Stochastic Rising Bandits

Marco Mussi, Alessandro Montenegro, Francesco Trovò et al.

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States

Noga Mudrik, Gal Mishne, Adam Charles

Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification

Joar Skalse, Alessandro Abate

Effective and Efficient Federated Tree Learning on Hybrid Data

Qinbin Li, Chulin Xie, Xiaojun Xu et al.

From Inverse Optimization to Feasibility to ERM

Saurabh Mishra, Anant Raj, Sharan Vaswani

Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains

Wu Ran, Peirong Ma, Zhiquan He et al.

Gated Fields: Learning Scene Reconstruction from Gated Videos

Andrea Ramazzina, Stefanie Walz, Pragyan Dahal et al.

Roping in Uncertainty: Robustness and Regularization in Markov Games

Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

Rui Li, Mikhail Kudryashev, Artur Yakimovich

No-Regret Reinforcement Learning in Smooth MDPs

Davide Maran, Alberto Maria Metelli, Matteo Papini et al.

PDT Uav Target Detection Dataset for Pests and Diseases Tree

Mingle Zhou, Rui Xing, Delong Han et al.

COD: Learning Conditional Invariant Representation for Domain Adaptation Regression

Hao-Ran Yang, Chuan-Xian Ren, You-Wei Luo