Most Cited 2024 "coordinated problem solving" Papers

FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning

Oscar Skean, Aayush Dhakal, Nathan Jacobs et al.

Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.

Ashutosh Singh, Ricardo Borsoi, Deniz Erdogmus et al.

Multi-Task Domain Adaptation for Language Grounding with 3D Objects

Penglei SUN, Yaoxian Song, Xinglin Pan et al.

On the Expressivity of Recurrent Neural Cascades

Nadezda Knorozova, Alessandro Ronca

Sample-Efficient Multi-Agent RL: An Optimization Perspective

Nuoya Xiong, Zhihan Liu, Zhaoran Wang et al.

Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes

Thiziri Nait Saada, Alireza Naderi, Jared Tanner

Deep Regression Representation Learning with Topology

Shihao Zhang, Kenji Kawaguchi, Angela Yao

Generative Marginalization Models

Sulin Liu, Peter Ramadge, Ryan P. Adams

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning

Chao Li, Yupeng Zhang, Jianqi Wang et al.

Unified Local-Cloud Decision-Making via Reinforcement Learning

Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj et al.

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

GenCO: Generating Diverse Designs with Combinatorial Constraints

Aaron Ferber, Arman Zharmagambetov, Taoan Huang et al.

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

Yang Chen, Cong Fang, Zhouchen Lin et al.

Masked Distillation Advances Self-Supervised Transformer Architecture Search

Caixia Yan, Xiaojun Chang, Zhihui Li et al.

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression

Lijia Zhou, James Simon, Gal Vardi et al.

Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem

Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.

Neural Network Approximators for Marginal MAP in Probabilistic Circuits

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings

Edouard YVINEC, Arnaud Dapogny, Kevin Bailly

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting

Jiezhi Yang, Khushi P Desai, Charles Packer et al.

MD tree: a model-diagnostic tree grown on loss landscape

Yefan Zhou, Jianlong Chen, Qinxue Cao et al.

Smooth Min-Max Monotonic Networks

Christian Igel

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias

Wenyu Zhang, Qingmu Liu, Felix Ong et al.

Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation

YAO YAO, Yixuan Pan, Wenjun Shi et al.

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration

Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.

Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning

Jianjie Luo, Jingwen Chen, Yehao Li et al.

Individual Fairness in Graph Decomposition

Kamesh Munagala, Govind S. Sankar

Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning

Zongmeng Zhang, Yufeng Shi, Jinhua Zhu et al.

Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning

Joon Suk Huh, Kirthevasan Kandasamy

Coherence As Texture – Passive Textureless 3D Reconstruction by Self-interference

Wei-Yu Chen, Aswin C. Sankaranarayanan, Anat Levin et al.

MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain

Timothy Chase, Karthik Dantu

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

Ruiqian Nai, Zixin Wen, Ji Li et al.

Characterizing Model Robustness via Natural Input Gradients

Adrian Rodriguez-Munoz, Tongzhou Wang, Antonio Torralba

Single-Mask Inpainting for Voxel-based Neural Radiance Fields

Jiafu Chen, Tianyi Chu, Jiakai Sun et al.

Adaptive Online Experimental Design for Causal Discovery

Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu et al.

Learning Thresholds with Latent Values and Censored Feedback

Jiahao Zhang, Tao Lin, Weiqiang Zheng et al.

Amortized Equation Discovery in Hybrid Dynamical Systems

Yongtuo Liu, Sara Magliacane, Miltiadis (Miltos) Kofinas et al.

Topology-Preserving Downsampling of Binary Images

Chia-Chia Chen, Chi-Han Peng

DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control

Xinyu Xu, Shengcheng Luo, Yanchao Yang et al.

Feature-aligned N-BEATS with Sinkhorn divergence

Joonhun Lee, Myeongho Jeon, Myungjoo Kang et al.

Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data

Wufei Ma, Kai Li, Zhongshi Jiang et al.

REDIR: Refocus-free Event-based De-occlusion Image Reconstruction

Qi Guo, Hailong Shi, Huan Li et al.

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu et al.

On Double Descent in Reinforcement Learning with LSTD and Random Features

David Brellmann, Eloïse Berthier, David Filliat et al.

FESSNC: Fast Exponentially Stable and Safe Neural Controller

Jingdong Zhang, Luan Yang, Qunxi Zhu et al.

Online Video Quality Enhancement with Spatial-Temporal Look-up Tables

Zefan Qu, Xinyang Jiang, Yifan Yang et al.

Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding

niloofar azizi, Mohsen Fayyaz, Horst Bischof

Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence

Yancheng Huang, Kai Yang, Zelin Zhu et al.

Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations

Xiaolin Sun, Zizhan Zheng

Reconciling Predictive and Statistical Parity: A Causal Approach

Drago Plecko, Elias Bareinboim

Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping

Minseong Park, Suhan Woo, Euntai Kim

HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis

Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren et al.

Simple Ingredients for Offline Reinforcement Learning

Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta et al.

Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation

Yushun Tang, Shuoshuo Chen, Zhihe Lu et al.

OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction

Yini Fang, Jingling Yu, Haozheng Zhang et al.

Conformal Predictions under Markovian Data

Frédéric Zheng, Alexandre Proutiere

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties

Junfei Xiao, Ziqi Zhou, Wenxuan Li et al.

A Precise Characterization of SGD Stability Using Loss Surface Geometry

Gregory Dexter, Borja Ocejo, Sathiya Keerthi et al.

Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy

Tao Li, Weisen Jiang, Fanghui Liu et al.

Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing

Youwei Shu, Xi Xiao, Derui Wang et al.

ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints

Akhil Agnihotri, Rahul Jain, Haipeng Luo

Parallel Affine Transformation Tuning of Markov Chain Monte Carlo

Philip Schär, Michael Habeck, Daniel Rudolf

Multi-scale Cross Distillation for Object Detection in Aerial Images

Kun Wang, Zi Wang, Zhang Li et al.

On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition

Yunyan Bai, Yuxing Liu, Luo Luo

Neural graphics texture compression supporting random access

Farzad Farhadzadeh, Qiqi Hou, Hoang Le et al.

Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing

Qihua Chen, Xuejin Chen, Chenxuan Wang et al.

Adversarial Robustification via Text-to-Image Diffusion Models

Daewon Choi, Jongheon Jeong, Huiwon Jang et al.

Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient

Hao Di, Haishan Ye, Yueling Zhang et al.

Multigroup Robustness

Lunjia Hu, Charlotte Peale, Judy Hanwen Shen

Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration

Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.

Double Auction on Diffusion Network

Miao Li, Yuhan Cao, Dengji Zhao

Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg

Yi Feng, Georgios Piliouras, Xiao Wang

Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework

Jingjing Zheng, Wanglong Lu, Wenzhe Wang et al.

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Neehal Tumma, Mathias Lechner, Noel Loo et al.

Learning-based Axial Video Motion Magnification

Kwon Byung-Ki, HYUNBIN OH, Kim Jun-Seong et al.

The Fundamental Limits of Least-Privilege Learning

Theresa Stadler, Bogdan Kulynych, Michael Gastpar et al.

An Investigation of Representation and Allocation Harms in Contrastive Learning

Subha Maity, Mayank Agarwal, Mikhail Yurochkin et al.

Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network

Sukwon Yun, Jie Peng, Alexandro E Trevino et al.

Mean Field Theory in Deep Metric Learning

Takuya Furusawa

Diffusion Sampling with Momentum for Mitigating Divergence Artifacts

Suttisak Wisadwongsa, Worameth Chinchuthakun, Pramook Khungurn et al.

Careful with that Scalpel: Improving Gradient Surgery with an EMA

Yu-Guan Hsieh, James Thornton, Eugene Ndiaye et al.

Switched Flow Matching: Eliminating Singularities via Switching ODEs

Qunxi Zhu, Wei Lin

Masked Face Recognition with Generative-to-Discriminative Representations

Shiming Ge, Weijia Guo, Chenyu Li et al.

Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks

Haoyu Li, Shichang Zhang, Longwen Tang et al.

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun et al.

Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining

Diwei Su, cheng fei, Jianxu Luo

Coreference Graph Guidance for Mind-Map Generation

Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.

Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery

Yassir Jedra, William Réveillard, Stefan Stojanovic et al.

Stealthy Imitation: Reward-guided Environment-free Policy Stealing

Zhixiong Zhuang, Irina Nicolae, Mario Fritz

Generative Quanta Color Imaging

Vishal Purohit, Junjie Luo, Yiheng Chi et al.

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions

Adel Javanmard, Lin Chen, Vahab Mirrokni et al.

Navigating Scaling Laws: Compute Optimality in Adaptive Model Training

Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag et al.

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing

Alaa Anani, Tobias Lorenz, Bernt Schiele et al.

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation

Michelle Pan, Mariah Schrum, Vivek Myers et al.

A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs

Thien Le, Luana Ruiz, Stefanie Jegelka

The Logic of Doxastic Strategies

Junli Jiang, Pavel Naumov

Observable Propagation: Uncovering Feature Vectors in Transformers

Jacob Dunefsky, Arman Cohan

Robust Data-driven Prescriptiveness Optimization

Mehran Poursoltani, Erick Delage, Angelos Georghiou

Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks

Jiawei Wu, Zhi Jin

Efficient ConvBN Blocks for Transfer Learning and Beyond

Kaichao You, Guo Qin, Anchang Bao et al.

Criterion Collapse and Loss Distribution Control

Matthew J. Holland

Synchronization of Projective Transformations

Rakshith Madhavan, Andrea Fusiello, Federica Arrigoni

Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares

Liangzu Peng, Wotao Yin

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images

Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi et al.

Two Tales of Single-Phase Contrastive Hebbian Learning

Rasmus Kjær Høier, Christopher Zach

QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models

Xiangming Meng, Yoshiyuki Kabashima

FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation

Fan Qi, Ruijie Pan, Huaiwen Zhang et al.

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

Ziping Xu, Zifan Xu, Runxuan Jiang et al.

Randomized Confidence Bounds for Stochastic Partial Monitoring

Maxime Heuillet, Ola Ahmad, Audrey Durand

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing

Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks

Haihang Wu, Wei Wang, Tamasha Malepathirana et al.

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu et al.

Generative Conditional Distributions by Neural (Entropic) Optimal Transport

Bao Nguyen, Binh Nguyen, Trung Hieu Nguyen et al.

Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation

Yididiya Nadew, Xuhui Fan, Christopher J Quinn

Deep Online Probability Aggregation Clustering

Yuxuan Yan, Na Lu, Ruofan Yan

SPADE: Sparsity-Guided Debugging for Deep Neural Networks

Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar et al.

Observation-Guided Diffusion Probabilistic Models

Junoh Kang, Jinyoung Choi, Sungik Choi et al.

When Will Gradient Regularization Be Harmful?

Yang Zhao, Hao Zhang, Xiuyuan Hu

CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing

Haibo Jin, Ruoxi Chen, Jinyin Chen et al.

Towards Equipping Transformer with the Ability of Systematic Compositionality

Chen Huang, Peixin Qin, Wenqiang Lei et al.

CPN: Complementary Proposal Network for Unconstrained Text Detection

Longhuang Wu, Shangxuan Tian, Youxin Wang et al.

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games

Brian Zhang, Gabriele Farina, Tuomas Sandholm

Bottleneck-Minimal Indexing for Generative Document Retrieval

Xin Du, Lixin Xiu, Kumiko Tanaka-Ishii

Privacy Profiles for Private Selection

Antti Koskela, Rachel Redberg, Yu-Xiang Wang

Causal-Driven Skill Prerequisite Structure Discovery

Shenbao Yu, Yifeng Zeng, Fan Yang et al.

Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation

Linlong Fan, Ye Huang, Yanqi Ge et al.

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

Learning the Topology and Behavior of Discrete Dynamical Systems

Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.

Natural Strategic Ability in Stochastic Multi-Agent Systems

Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.

Generalizing Orthogonalization for Models with Non-Linearities

David Rügamer, Chris Kolb, Tobias Weber et al.

MC-PanDA: Mask Confidence for Panoptic Domain Adaptation

Ivan Martinovic, Josip Šarić, Siniša Šegvić

SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding

Zixu Cheng, Yujiang Pu, Shaogang Gong et al.

Enabling Lanuguage Models to Implicitly Learn Self-Improvement

Ziqi Wang, Le Hou, Tianjian Lu et al.

Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection

Xiaohong Zhang, Huisheng Ye, Jingwen Li et al.

Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning

Meixuan Li, Tianyu Li, Guoqing Wang et al.

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning

James Chapman, Lennie Wells, Ana Lawry Aguila

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers

Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen et al.

A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming

Zeynep G. Saribatur, Stefan Woltran

Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image

Xingyu Liu, Pengfei Ren, Jingyu Wang et al.

Adapting to Shifting Correlations with Unlabeled Data Calibration

Minh Nguyen, Alan Q Wang, Heejong Kim et al.

EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.

ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images

Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew et al.

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Thomas T. Zhang, Bruce Lee, Ingvar Ziemann et al.

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng et al.

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos

Aamal Hussain, Francesco Belardinelli

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Wonjoon Chang, Dahee Kwon, Jaesik Choi

Efficient Neural Video Representation with Temporally Coherent Modulation

Seungjun Shin, Suji Kim, Dokwan Oh

Cross-Input Certified Training for Universal Perturbations

Changming Xu, Gagandeep Singh

Bayesian Program Learning by Decompiling Amortized Knowledge

Alessandro Palmarini, Christopher Lucas, Siddharth N

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making

Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee

Better Locally Private Sparse Estimation Given Multiple Samples Per User

Yuheng Ma, Ke Jia, Hanfang Yang

SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models

Yang Zhou, Yongjian Wu, Jiya Saiyin et al.

Formula-Supervised Visual-Geometric Pre-training

Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka et al.

Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals

Ziyi Liu, Idan Attias, Daniel Roy

On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing

Raven Beutner, Bernd Finkbeiner

Learning to Compile Programs to Neural Networks

Logan Weber, Jesse Michel, Alex Renda et al.

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.

Automated Loss function Search for Class-imbalanced Node Classification

Xinyu Guo, KAI WU, Xiaoyu Zhang et al.

Non-monotone Sequential Submodular Maximization

Shaojie Tang, Jing Yuan

Graph Adversarial Diffusion Convolution

Songtao Liu, Jinghui Chen, Tianfan Fu et al.

Distributed Bilevel Optimization with Communication Compression

Yutong He, Jie Hu, Xinmeng Huang et al.

Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs

Anson Simon Bastos, Kuldeep Singh, Abhishek Nadgeri et al.

Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens

Ross Clarke, Jose Miguel Hernandez-Lobato

HashPoint: Accelerated Point Searching and Sampling for Neural Rendering

Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal et al.

MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise

Qingzheng Huang, Xilin He, Xiaole Xian et al.

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model

Zhengang Li, Yan Kang, Yuchen Liu et al.

Monocular 3D Hand Mesh Recovery via Dual Noise Estimation

Hanhui Li, Xiaojian Lin, Xuan Huang et al.

Photon Inhibition for Energy-Efficient Single-Photon Imaging

Lucas Koerner, Shantanu Gupta, Atul N Ingle et al.

Learning Divergence Fields for Shift-Robust Graph Representations

Qitian Wu, Fan Nie, Chenxiao Yang et al.

Quantization-Friendly Winograd Transformations for Convolutional Neural Networks

Vladimir Protsenko, Vladimir Kryzhanovskiy, Alexander Filippov

Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation

Hoang Chuong Nguyen, Tianyu Wang, Jose M. Alvarez et al.

On a Neural Implementation of Brenier's Polar Factorization

Nina Vesseron, Marco Cuturi

Bayesian Coreset Optimization for Personalized Federated Learning

Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan

Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models

Zeyu Zhou, Ruqi Bai, Sean Kulinski et al.

Decoupling regularization from the action space

Sobhan Mohammadpour, Emma Frejinger, Pierre-Luc Bacon

Residual Learning in Diffusion Models

Junyu Zhang, Daochang Liu, Eunbyung Park et al.

Auditable Algorithms for Approximate Model Counting

S Akshay, Supratik Chakraborty, Kuldeep S Meel

Adaptive Stabilization Based on Machine Learning for Column Generation

Yunzhuang Shen, Yuan Sun, Xiaodong Li et al.

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning

Jaejun Lee, Minsung Hwang, Joyce Whang

SeiT++: Masked Token Modeling Improves Storage-efficient Training

Minhyun Lee, Song Park, Byeongho Heo et al.

How Graph Neural Networks Learn: Lessons from Training Dynamics

Chenxiao Yang, Qitian Wu, David Wipf et al.

CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models

Dan Shi, Chaobin You, Jian-Tao Huang et al.

Rethinking the Uniformity Metric in Self-Supervised Learning

Xianghong Fang, Jian Li, Qiang Sun et al.

State-Constrained Zero-Sum Differential Games with One-Sided Information

Mukesh Ghimire, Lei Zhang, Zhe Xu et al.

Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing

Guangming Zhu, Siyuan Wang, Tianci Wu et al.

FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis

Vishnu Mani Hema, Shubhra Aich, Christian Haene et al.

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

Hilal AlQuabeh, William de Vazelhes, Bin Gu

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images

Yushuang Wu, Luyue Shi, Junhao Cai et al.

DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction

Jaehyeok Shim, Kyungdon Joo

Learning Triangular Distribution in Visual World

Ping Chen, Xingpeng Zhang, Chengtao Zhou et al.

Efficient Snapshot Spectral Imaging: Calibration-Free Parallel Structure with Aperture Diffraction Fusion

Tao Lv, Lihao Hu, Shiqiao Li et al.

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata

Dongsu Zhang, Francis Williams, Žan Gojčič et al.

CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition

Qixuan Zheng, Ming Zhang, Hong Yan

Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination

Yixin Zeng, Zoubin Bi, Yin Mingrui et al.

MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark

Sanghyun Woo, Kwanyong Park, Inkyu Shin et al.

Named Entity Driven Zero-Shot Image Manipulation

Zhida Feng, Li Chen, Jing Tian et al.

AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement

Shiwei Jin, Zhen Wang, Lei Wang et al.

Semantic Line Combination Detector

JINWON KO, Dongkwon Jin, Chang-Su Kim

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

Weiyao Wang, Pierre Gleize, Hao Tang et al.

G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping

Junfeng Cheng, Tania Stathaki