Most Cited 2024 "grpo algorithm" Papers

Incentive-Aware Federated Learning with Training-Time Model Rewards

Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar et al.

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning

Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization

Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization

Hamidreza Almasi, Harsh Mishra, Balajee Vamanan et al.

GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries

Xiaoqi Wang, Han Wei Shen

Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations

Feng Gao, Liangzhi Shi, Shenao Zhang et al.

Multi-View Randomized Kernel Classification via Nonconvex Optimization

Robust Classification via Regression for Learning with Noisy Labels

Erik Englesson, Hossein Azizpour

On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?

Markus Hecher, Rafael Kiesel

Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction

Video-Language Aligned Transformer for Video Question Answering

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate

Meirui Jiang, Anjie Le, Xiaoxiao Li et al.

Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation

Safe and Robust Subgame Exploitation in Imperfect Information Games

Zhenxing Ge, Zheng Xu, Tianyu Ding et al.

Authors

- Xinshu Li, Lina Yao

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning

Fan Wu, Rui Zhang, Qi Yi et al.

Graph-Triggered Rising Bandits

Gianmarco Genalti, Marco Mussi, Nicola Gatti et al.

Reinforcement Learning within Tree Search for Fast Macro Placement

Zijie Geng, Jie Wang, Ziyan Liu et al.

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Weiping Lin, Zhenfeng Zhuang, Lequan Yu et al.

MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation

Zhicheng Zhang, Pancheng Zhao, Eunil Park et al.

Addressing Signal Delay in Deep Reinforcement Learning

Wei Wang, Dongqi Han, Xufang Luo et al.

Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms

Avishek Ghosh, Arya Mazumdar

Invariance-based Learning of Latent Dynamics

Kai Lagemann, Christian Lagemann, Sach Mukherjee

CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training

Yuxin Guo, Siyang Sun, Shuailei Ma et al.

CLAP: Collaborative Adaptation for Patchwork Learning

Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan et al.

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning

Ziyu Shang, Ke Wenjun, Nana Xiu et al.

Does Label Smoothing Help Deep Partial Label Learning?

Xiuwen Gong, Nitin Bisht, Guandong Xu

Gradual Domain Adaptation via Gradient Flow

Zhan ZHUANG, Yu Zhang, Ying Wei

Evolution-Inspired Loss Functions for Protein Representation Learning

Chengyue Gong, Adam Klivans, James Loy et al.

Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs

Shuchao Pang, Ruhao Ma, Bing Li et al.

E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation

Yifan Gong, Zheng Zhan, Qing Jin et al.

Gradient-based Out-of-Distribution Detection

Taha Entesari, Sina Sharifi, Bardia Safaei et al.

Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?

Lorenz K. Muller

Fine-grained Classes and How to Find Them

Matej Grcic, Artyom Gadetsky, Maria Brbic

Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation

Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu

MixSATGEN: Learning Graph Mixing for SAT Instance Generation

Xinyan Chen, Yang Li, Runzhong Wang et al.

LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers

Ziling Huang, Shin’ichi Satoh

EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization

Zhibin Gu, Zhendong Li, Songhe Feng

Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection

Yicheng Xiao, Zhuoyan Luo, Yong Liu et al.

VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift

Leyuan Liu, Yuhan Li, Yunqi Gao et al.

StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting

Jinyong Fan, Yanyan Shen

Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation

Minh Hoang, Carl Kingsford

FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors

Chen-Wei Xie, Siyang Sun, Liming Zhao et al.

Block Image Compressive Sensing with Local and Global Information Interaction

Xiaoyu Kong, Yongyong Chen, Feng Zheng et al.

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation

Ziao Guo, Yang Li, Chang Liu et al.

Dynamic Reactive Spiking Graph Neural Network

Compressing Large Language Models by Joint Sparsification and Quantization

Jinyang Guo, Jianyu Wu, Zining Wang et al.

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks

Jae Choi, Yuzhou Chen, Huikyo Lee et al.

Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection

Cheng Peng, Ke Chen, Lidan Shou et al.

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Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)

Diyang Li, Charles Ling, Zhiqiang Xu et al.

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering

Jingyu Pu, Chenhang Cui, Xinyue Chen et al.

DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation

Zhuowei Chen, Shancheng Fang, Wei Liu et al.

Encoding Constraints as Binary Constraint Networks Satisfying BTP

Robust Blind Text Image Deblurring via Maximum Consensus Framework

Zijian Min, Gundu Hassan, GeunSik Jo

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving

Jun Yin, Shiliang Sun, Lai Wei et al.

SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting

Lu Han, Han-Jia Ye, De-Chuan Zhan

Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions

Lvye Cui, Haoran Yu

Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning

Jun-Yi Hang, Min-Ling Zhang

FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis

Meizhen Zheng, Peng Bai, Xiaodong Shi et al.

Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos

Yuhan Shen, Ehsan Elhamifar

H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion

Yu Wang, Chao Tong

Convergence Guarantees for the DeepWalk Embedding on Block Models

Christopher Harker, Aditya Bhaskara

Estimating the Permanent by Nesting Importance Sampling

Juha Harviainen, Mikko Koivisto

Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction

Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

Point Transformer V3: Simpler Faster Stronger

Xiaoyang Wu, Li Jiang, Peng-Shuai Wang et al.

Tangent Transformers for Composition,Privacy and Removal

Tian Yu Liu, Aditya Golatkar, Stefano Soatto

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling

Jiujun He, Bin Liu, Guosheng Yin

Dissecting learning and forgetting in language model finetuning

Xiao Zhang, Ji Wu

Deep Neural Room Acoustics Primitive

Yuhang He, Anoop Cherian, Gordon Wichern et al.

Label-Focused Inductive Bias over Latent Object Features in Visual Classification

Ilmin Kang, HyounYoung Bae, Kangil Kim

ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation

Nantian He, Shaohui Li, Zhi Li et al.

Domain-wise Data Acquisition to Improve Performance under Distribution Shift

Yue He, Dongbai Li, Pengfei Tian et al.

Independency Adversarial Learning for Cross-Modal Sound Separation

Zhenkai Lin, Yanli Ji, Yang Yang

Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method

Miaohui Wang, Rong Zhang, Lirong Huang et al.

Ambiguity-Aware Abductive Learning

Hao-Yuan He, Hui Sun, Zheng Xie et al.

GraphPulse: Topological representations for temporal graph property prediction

Kiarash Shamsi, Farimah Poursafaei, Shenyang(Andy) Huang et al.

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework

Yufei Kuang, Jie Wang, Haoyang Liu et al.

Scalable and Effective Implicit Graph Neural Networks on Large Graphs

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi et al.

GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation

Guikun Xu, Yongquan Jiang, PengChuan Lei et al.

Learning Nash Equilibria in Rank-1 Games

Nikolas Patris, Ioannis Panageas

Safe Abductive Learning in the Presence of Inaccurate Rules

Xiao-Wen Yang, Jie-Jing Shao, Wei-Wei Tu et al.

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching

Minh Hoang, Azza Fadhel, Aryan Deshwal et al.

Estimating Unknown Population Sizes Using the Hypergeometric Distribution

Liam Hodgson, Danilo Bzdok

Online Markov Decision Processes Configuration with Continuous Decision Space

Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi et al.

All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation

Pragyan Banerjee, Abhinav Java, Surgan Jandial et al.

Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning

Congpei Qiu, Tong Zhang, Yanhao Wu et al.

Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice

Jicong Fan, Rui Chen, Zhao Zhang et al.

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Mingzhao Yang, Shangchao Su, Bin Li et al.

Enhancing Sufficient Dimension Reduction via Hellinger Correlation

Seungbeom Hong, Ilmun Kim, Jun Song

Optimised Storage for Datalog Reasoning

Xinyue Zhang, Pan Hu, Yavor Nenov et al.

4Diff: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation

Feng Cheng, Mi Luo, Huiyu Wang et al.

CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition

Linhao Zhang, Li Jin, Guangluan Xu et al.

Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

Samuel Horváth, Stefanos Laskaridis, Shashank Rajput et al.

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction

Jian Zhu, Congcong Liu, Xue Jiang et al.

SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning

Jiaheng Feng, Mingxiao Feng, Haolin Song et al.

Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement

Wang Liu, Wei Gao, Xingming Mu

3D Gaussian Parametric Head Model

Yuelang Xu, Lizhen Wang, Zerong Zheng et al.

Model Counting and Sampling via Semiring Extensions

Andreas Goral, Joachim Giesen, Mark Blacher et al.

AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution

Xiaotong Luo, zekun Ai, Qiuyuan Liang et al.

Improving the Convergence of Dynamic NeRFs via Optimal Transport

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning

Yusong Hu, De Cheng, Dingwen Zhang et al.

Adversarial Robust Safeguard for Evading Deep Facial Manipulation

Jiazhi Guan, Yi Zhao, Zhuoer Xu et al.

FMRNet: Image Deraining via Frequency Mutual Revision

Kui Jiang, Junjun Jiang, Xianming Liu et al.

Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation

Dapeng Hu, Jian Liang, Xinchao Wang et al.

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

Dong Chen, Yueting Zhuang, Shuo Zhang et al.

FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization

Junyi Li, Feihu Huang, Heng Huang

Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning

Antoine Bambade, Fabian Schramm, Adrien Taylor et al.

Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction

Jiacheng Chen, Jiawei Jiang, Fei Wu et al.

MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization

Kunlun Zeng, Ri Cheng, Weimin Tan et al.

High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost

JiaKui Hu, Man Yao, Xuerui Qiu et al.

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning

Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan et al.

CrossScore: A Multi-View Approach to Image Evaluation and Scoring

Zirui Wang, Wenjing Bian, Victor Adrian Prisacariu

A Dynamical View of the Question of Why

Mehdi Fatemi, Sindhu Chatralinganadoddi Mariyappa Gowda

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games

Kexin Huang, Ziqian Chen, xue wang et al.

Deep Companion Learning: Enhancing Generalization Through Historical Consistency

Ruizhao Zhu, Venkatesh Saligrama

Near-Linear Time Approximation Algorithms for k-means with Outliers

Junyu Huang, Qilong Feng, Ziyun Huang et al.

Efficient Backpropagation with Variance Controlled Adaptive Sampling

Ziteng Wang, Jianfei Chen, Jun Zhu

Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space

Erik Bekkers, Sharvaree Vadgama, Rob Hesselink et al.

InstructSpeech: Following Speech Editing Instructions via Large Language Models

Rongjie Huang, Ruofan Hu, Yongqi Wang et al.

Test-Time Linear Out-of-Distribution Detection

Ke Fan, Tong Liu, Xingyu Qiu et al.

Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing

Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.

AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning

Rohan Sharma, Kaiyi Ji, Zhiqiang Xu et al.

Energy-induced Explicit quantification for Multi-modality MRI fusion

Xiaoming Qi, Yuan Zhang, Tong Wang et al.

Towards Calibrated Multi-label Deep Neural Networks

Jiacheng Cheng, Nuno Vasconcelos

MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution

Shuying Huang, Mingyang Ren, Yong Yang et al.

On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective

Jincheng Huang, Jialie SHEN, Xiaoshuang Shi et al.

Quasi-Monte Carlo Features for Kernel Approximation

ZHEN HUANG, Jiajin Sun, Yian Huang

DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations

Zhihe Yang, Yunjian Xu

State Space Models for Event Cameras

Nikola Zubic, Mathias Gehrig, Davide Scaramuzza

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation

Zhilin Huang, Ling Yang, Xiangxin Zhou et al.

SaNN: Simple Yet Powerful Simplicial-aware Neural Networks

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Learning Reduced Fluid Dynamics

Zherong Pan, Xifeng Gao, Kui Wu

Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement

Ziyu Yue, Jiaxin Gao, Zhixun Su

Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples

Zhidong Yu, Wei Yang, Xike Xie et al.

Position: The Platonic Representation Hypothesis

Minyoung Huh, Brian Cheung, Tongzhou Wang et al.

A Compiler for Weak Decomposable Negation Normal Form

Petr Illner, Petr Kucera

Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification

Recurrent Partial Kernel Network for Efficient Optical Flow Estimation

Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision

Weibo Gao, Qi Liu, Hao Wang et al.

Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping

Peng Sun, Xinyang Liu, Zhibo Wang et al.

Triple Feature Disentanglement for One-Stage Adaptive Object Detection

Haoan Wang, Shilong Jia, Tieyong Zeng et al.

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control

Dongyoon Hwang, Byungkun Lee, Hojoon Lee et al.

Meta-Learning Priors Using Unrolled Proximal Networks

Yilang Zhang, Georgios B Giannakis

EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling

Rui Jiang, Fangwen Tu, Yixuan Long et al.

Influential Exemplar Replay for Incremental Learning in Recommender Systems

Xinni Zhang, Yankai Chen, Chenhao Ma et al.

ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model

Qixin Wang, Chaoqiong Fan, Tianyuan Jia et al.

Accelerated Sampling with Stacked Restricted Boltzmann Machines

Jorge Fernandez-de-Cossio-Diaz, Clément Roussel, Simona Cocco et al.

LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition

Lingfeng Liu, Dong Ni, Hangjie Yuan

Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models

Hongwei Yu, Jiansheng Chen, Xinlong Ding et al.

Online Non-stochastic Control with Partial Feedback

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD

Jonggyu Jang, Seongjin Hwang, Hyun Jong Yang

Prompt Learning with Quaternion Networks

Boya Shi, Zhengqin Xu, Shuai Jia et al.

SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models

Xin Zhang, Dong Zhang, Shimin Li et al.

GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings

Jingyun Xiao, Ran Liu, Eva Dyer

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds

Yuxin Dong, Tieliang Gong, Hong Chen et al.

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling

Kun Wang, Hao Wu, Yifan Duan et al.

Advancing Dynamic Sparse Training by Exploring Optimization Opportunities

Jie Ji, Gen Li, Lu Yin et al.

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization

Tianying Ji, Yongyuan Liang, Yan Zeng et al.

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Junjie Chen, Jiahao Li, Chen Song et al.

Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance

Yu, Jie Huang, Li et al.

Common Sense Reasoning for Deep Fake Detection

Yue Zhang, Ben Colman, Xiao Guo et al.

A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem

Lu Liu, Mingyu Xiao, Yi Zhou

Scalable Monotonic Neural Networks

Hyunho Kim, Jong-Seok Lee

Latent 3D Graph Diffusion

Yuning You, Ruida Zhou, Jiwoong Park et al.

NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks

Haiyan Jiang, Giulia De Masi, Huan Xiong et al.

W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation

Fangyuan Zhang, Tianxiang Pan, Junhai Yong et al.

Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning

Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña-Brown et al.

Diffusion Models for Multi-Task Generative Modeling

Changyou Chen, Han Ding, Bunyamin Sisman et al.

Generalized Policy Iteration using Tensor Approximation for Hybrid Control

Suhan Shetty, Teng Xue, Sylvain Calinon

SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors

Fang Jiawei, Haishan Song, Chengxu Zuo et al.

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng et al.

Visual Hallucination Elevates Speech Recognition

Fang Zhang, Yongxin Zhu, Xiangxiang Wang et al.

Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction

Renjie Pi, Lewei Yao, Jianhua Han et al.

Comprehensive Visual Grounding for Video Description

Wenhui Jiang, Yibo Cheng, Liu Linxin et al.

Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction

ZhouSan Xie, Shikui Tu, Lei Xu

Fast Imitation via Behavior Foundation Models

Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati et al.

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming

Vincent Conitzer, Yueqian Wang, Yuxuan Wang et al.

Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling

Jianan Li, Qiulei Dong

Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening

READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning

Takeru Oba, Matthew Walter, Norimichi Ukita

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning

Na Li, Yuchen Jiao, Hangguan Shan et al.

GSDD: Generative Space Dataset Distillation for Image Super-resolution

Haiyu Zhang, Shaolin Su, Yu Zhu et al.

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Mira Juergens, Nis Meinert, Viktor Bengs et al.

MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction

Eric-Tuan Le, Antonios Kakolyris, Petros Koutras et al.

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

Bowen Wang, Chen Liang, Jiaze Wang et al.

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark

Yehui Tang, Hao Xiong, Nianzu Yang et al.

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space

Hao Xiong, Yehui Tang, Yunlin He et al.

Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts

Lizhang Chen, Bo Liu, Kaizhao Liang et al.

Think Before You Act: Decision Transformers with Working Memory

Jikun Kang, Romain Laroche, Xingdi Yuan et al.

Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification

Guodong Wang, Yunhong Wang, Xiuguo Bao et al.

Neural Tangent Kernels for Axis-Aligned Tree Ensembles

Ryuichi Kanoh, Mahito Sugiyama

On the Generalization of Equivariant Graph Neural Networks

Rafał Karczewski, Amauri Souza, Vikas Garg

Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision

Nan Chen, Zemin Liu, Bryan Hooi et al.

Convergence of Bayesian Bilevel Optimization

Shi Fu, Fengxiang He, Xinmei Tian et al.

PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Junsong Chen, Jincheng YU, Chongjian GE et al.

Pluvial Flood Emulation with Hydraulics-informed Message Passing

Arnold Kazadi, James Doss-Gollin, Arlei Silva

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting

Event-based Visible and Infrared Fusion via Multi-task Collaboration

Mengyue Geng, Lin Zhu, Lizhi Wang et al.

Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback

Yiliu Wang, Wei Chen, Milan Vojnovic