Most Cited 2024 "relay rl" Papers
12,324 papers found • Page 51 of 62
Conference
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network
Aihua Mao, Biao Yan, Zijing Ma et al.
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data
Heejo Kong, Suneung Kim, Ho-Joong Kim et al.
CoVR: Learning Composed Video Retrieval from Web Video Captions
Lucas Ventura, Antoine Yang, Cordelia Schmid et al.
EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu, Jieji Ren, Jin Han et al.
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning
Hao Xiong, Yehui Tang, Xinyu Ye et al.
An Information-Flow Perspective on Algorithmic Fairness
Samuel Teuber, Bernhard Beckert
Collaborative Tooth Motion Diffusion Model in Digital Orthodontics
Yeying Fan, Guangshun Wei, Chen Wang et al.
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
Xinqiao Zhao, Ziqian Yang, Tianhong Dai et al.
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images
Weihao Cheng, Yan-Pei Cao, Ying Shan
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
Yuwen Tan, Qinhao Zhou, Xiang Xiang et al.
A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging
Liya Ji, ZheFan Rao, Sinno Jialin Pan et al.
Frequency Shuffling and Enhancement for Open Set Recognition
Lijun Liu, Rui Wang, Yuan Wang et al.
Towards Epistemic-Doxastic Planning with Observation and Revision
Thorsten Engesser, Andreas Herzig, Elise Perrotin
No Internal Regret with Non-convex Loss Functions
Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning
Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.
Logarithmic Lenses: Exploring Log RGB Data for Image Classification
Bruce Maxwell, Sumegha Singhania, Avnish Patel et al.
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
Matthew Budd, Bruno Lacerda, Nick Hawes
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation
Jiafan Zhuang, Zilei Wang, Yixin Zhang et al.
Real3D the Curious Case of Neural Scene Degeneration
Dengsheng Chen, Jie Hu, Xiaoming Wei et al.
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Ziqin Zhou, Hai-Ming Xu, Yangyang Shu et al.
Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution
Wenqian Dong, Yang Xu, Jiahui Qu et al.
Capturing Closely Interacted Two-Person Motions with Reaction Priors
Qi Fang, Yinghui Fan, Yanjun Li et al.
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning
Jinshan Zeng, Xianchao Tong, Xianglong Yu et al.
Disentangled Partial Label Learning
Wei-Xuan Bao, Yong Rui, Min-Ling Zhang
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
Xin Fan, Xiaolin Wang, Jiaxin Gao et al.
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection
Rundong He, Yue Yuan, Zhongyi Han et al.
Fairness without Demographics through Shared Latent Space-Based Debiasing
Rashidul Islam, Huiyuan Chen, Yiwei Cai
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
Mark Hamilton, Andrew Zisserman, John Hershey et al.
Learning Visual Prompt for Gait Recognition
Kang Ma, Ying Fu, Chunshui Cao et al.
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
Linmei Hu, Hongyu He, Duokang Wang et al.
PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates
Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu et al.
An Effective Polynomial Technique for Compiling Conditional Effects Away
Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala
Learning Large-Factor EM Image Super-Resolution with Generative Priors
Jiateng Shou, Zeyu Xiao, Shiyu Deng et al.
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
Tianpei Yang, Heng You, Jianye Hao et al.
Learning for Transductive Threshold Calibration in Open-World Recognition
Qin ZHANG, DONGSHENG An, Tianjun Xiao et al.
Decoupled Optimisation for Long-Tailed Visual Recognition
Cong Cong, Shiyu Xuan, Sidong Liu et al.
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
Liang He, Yunan Lu, Weiwei Li et al.
Data Augmented Graph Neural Networks for Personality Detection
Yangfu Zhu, Yue Xia, Meiling Li et al.
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling
Ziwen Li, Feng Zhang, Meng Cao et al.
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
Danyeong Lee, Dohoon Lee, Dongmin Bang et al.
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
Junyi Yao, Yijiang Liu, Zhen Dong et al.
Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior
Zhenyu Chen, Jie Guo, Shuichang Lai et al.
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
Shangjian Yin, Peijie Huang, Yuhong Xu
View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning
Shilong Ou, Zhe Xue, Yawen Li et al.
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures
Yulong Wang
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
Xu Yang, Xuan chen, Moqi Li et al.
CAMixerSR: Only Details Need More "Attention"
Yan Wang, Yi Liu, Shijie Zhao et al.
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change
Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
Lisa Mais, Peter Hirsch, Claire Managan et al.
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks
Xiaofan Que, Qi Yu
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
Huayu Mai, Rui Sun, Tianzhu Zhang et al.
CoDe: An Explicit Content Decoupling Framework for Image Restoration
Enxuan Gu, Hongwei Ge, Yong Guo
D^4: Dataset Distillation via Disentangled Diffusion Model
Duo Su, Junjie Hou, Weizhi Gao et al.
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam et al.
ROG\_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
Qin Zhang, Jiexin Lu, Xiaowei Li et al.
Barely Supervised Learning for Graph-Based Fraud Detection
Hang Yu, Zhengyang Liu, Xiangfeng Luo
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
Xianjie Guo, Kui Yu, Lin Liu et al.
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving
Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli
Patch-Aware Sample Selection for Efficient Masked Image Modeling
Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
Wenjun Li, Pradeep Varakantham
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Feng Liu, Minchul Kim, Zhiyuan Ren et al.
Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction
Sarah Friday, Yunzi Shi, Yaswanth Kumar Cherivirala et al.
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
Sofia Casarin, Cynthia Ugwu, Sergio Escalera et al.
Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction
Jinzhi Zheng, Heng Fan, Libo Zhang
Uncertainty-Aware GAN for Single Image Super Resolution
TexFit: Text-Driven Fashion Image Editing with Diffusion Models
Redefining ABA+ Semantics via Abstract Set-to-Set Attacks
DiffLoc: Diffusion Model for Outdoor LiDAR Localization
Wen Li, Yuyang Yang, Shangshu Yu et al.
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation
Bootstrapping Large Language Models for Radiology Report Generation
Chang Liu, Yuanhe Tian, Weidong Chen et al.
Continual Relation Extraction via Sequential Multi-Task Learning
Thanh-Thien Le, Manh Nguyen, Tung Nguyen et al.
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
Renhong Huang, Jiarong Xu, Xin Jiang et al.
Validating Privacy-Preserving Face Recognition under a Minimum Assumption
Hui Zhang, Xingbo Dong, YenLungLai et al.
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications
Poonam Goyal, Arshveer Kaur, Arvind Ram et al.
IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
Yunshu Dai, Jianwei Fei, Fangjun Huang
Semantic-Guided Novel Category Discovery
Weishuai Wang, Ting Lei, Qingchao Chen et al.
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation
Lianggangxu Chen, Youqi Song, Shaohui Lin et al.
Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction
Ruixuan Yu, Jian Sun
Taxonomy Driven Fast Adversarial Training
Kun Tong, Chengze Jiang, Jie Gui et al.
Transferable Adversarial Attacks for Object Detection Using Object
Aware Significant Feature Distortion - Xinlong Ding, Jiansheng Chen, Hongwei Yu et al.
NaMa: Neighbor
Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images - Runqi Meng, Xiao Zhang, Shijie Huang et al.
Talk Funny! A Large
Scale Humor Response Dataset with Chain-of-Humor Interpretation - Yuyan Chen, Yichen Yuan, Panjun Liu et al.
MICA: Towards Explainable Skin Lesion Diagnosis via Multi
Level Image-Concept Alignment - Yequan Bie, Luyang Luo, Hao Chen
Learning Only When It Matters: Cost
Aware Long-Tailed Classification - Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye et al.
Compositional Video Understanding with Spatiotemporal Structure-based Transformers
Hoyeoung Yun, Jinwoo Ahn, Minseo Kim et al.
Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing
ChangHee Yang, ChanHee Kang, Kyeongbo Kong et al.
Estimating Extreme 3D Image Rotations using Cascaded Attention
Shay Dekel, Yosi Keller, Martin Čadík
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
Mengjie Wu, Jingui Ma, Run Wang et al.
Interpretable3D: An Ad
Hoc Interpretable Classifier for 3D Point Clouds - Tuo Feng, Ruijie Quan, Xiaohan Wang et al.
LSTKC: Long Short
Term Knowledge Consolidation for Lifelong Person Re-identification - Kunlun Xu, Xu Zou, Jiahuan Zhou
Boosting Few
Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.
Machine Learning
Powered Combinatorial Clock Auction - Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss et al.
Box2Poly: Memory
Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text - Xuyang Chen, Dong Wang, Konrad Schindler et al.
Hypergraph Neural Architecture Search
Wei Lin, Xu Peng, Zhengtao Yu et al.
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama
Chain-of-Thought Improves Text Generation with Citations in Large Language Models
Bin Ji, Huijun Liu, Mingzhe Du et al.
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression
Miaohui Wang, Runnan Huang, Hengjin Dong et al.
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Weibo Jiang et al.
Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis
Yang Zou, Xingyuan Li, Zhiying Jiang et al.
SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer
Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
Neighbor Relations Matter in Video Scene Detection
Jiawei Tan, Hongxing Wang, Jiaxin Li et al.
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following
Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.
Referring Image Editing: Object-level Image Editing via Referring Expressions
Chang Liu, Xiangtai Li, Henghui Ding
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension
Mingmin Wu, Yuxue Hu, Yongcheng Zhang et al.
Unsupervised Blind Image Deblurring Based on Self-Enhancement
Lufei Chen, Xiangpeng Tian, Shuhua Xiong et al.
SignGraph: A Sign Sequence is Worth Graphs of Nodes
Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion
Zixian Gao, Xun Jiang, Xing Xu et al.
‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation
Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
Margot Herin, Patrice Perny, Nataliya Sokolovska
Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery
William de Vazelhes, Bhaskar Mukhoty, Xiaotong Yuan et al.
X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks
Zhipeng Qian, Yiwei Ma, Jiayi Ji et al.
Improving Distinguishability of Class for Graph Neural Networks
Dongxiao He, Shuwei Liu, Zhizhi Yu et al.
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
Zeyang Zhang, Xin Wang, Yijian Qin et al.
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples
Dongha Kim, Yongchan Choi, Kunwoong Kim et al.
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion
Jiangtong Tan, Jie Huang, Naishan Zheng et al.
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment
Joseph Clements, Yingjie Lao
FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
Jinglin Xu, Guohao Zhao, Sibo Yin et al.
Foundations of Reactive Synthesis for Declarative Process Specifications
Andrey Rivkin, Luca Geatti, Marco Montali
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
Ling Ge, Chunming Hu, Guanghui Ma et al.
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
Qiwei Li, Yuxin Peng, Jiahuan Zhou
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains
Md Nasim, Yexiang Xue
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
Yi Zhang, Meng-Hao Guo, Miao Wang et al.
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation
Xinyu Zhang, Meng Kang, Shuai Lü
Improving Graph Contrastive Learning via Adaptive Positive Sampling
Jiaming Zhuo, Feiyang Qin, Can Cui et al.
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
Chen Zhao, Shuming Liu, Karttikeya Mangalam et al.
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees
Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
Wenjia Geng, Yong Liu, Lei Chen et al.
Simple Weak Coresets for Non-decomposable Classification Measures
Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya
StegaStyleGAN: Towards Generic and Practical Generative Image Steganography
Wenkang Su, Jiangqun Ni, Yiyan Sun
RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation
Yi Rong, Haoran Zhou, Kang Xia et al.
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
Houcheng Su, Weihao Luo, Daixian Liu et al.
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation
Junyang Chen, Guoxuan Zou, Pan Zhou et al.
Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph
Yaolin Zheng, Hongbo Huang, Xiuying Wang et al.
ShareBERT: Embeddings Are Capable of Learning Hidden Layers
Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli et al.
Re-thinking Data Availability Attacks Against Deep Neural Networks
Bin Fang, Bo Li, Shuang Wu et al.
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution
Xiaotong Luo, Yuan Xie, Yanyun Qu et al.
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language
Xiang Fang, Daizong Liu, Wanlong Fang et al.
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
Sen Pei, Shixiong Xu, Xiaojie Jin
Rectangle Search: An Anytime Beam Search
Sofia Lemons, Wheeler Ruml, Rob Holte et al.
SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
Zhiyang Yao, Shuyang Liu, Xiaoyun Yuan et al.
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Jianyuan Wang, Nikita Karaev, Christian Rupprecht et al.
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
Wei Zhou, Hong Huang, Ruize Shi et al.
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
Xiangyang Miao, Guobao Xiao, Shiping Wang et al.
Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow
Tianchun Li, Chengxiang Wu, Pengyi Shi et al.
EasyDrag: Efficient Point-based Manipulation on Diffusion Models
Xingzhong Hou, Boxiao Liu, Yi Zhang et al.
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition
Han Lu, Xiahai Zhuang, Qiang Luo
Learned Lossless Image Compression based on Bit Plane Slicing
Zhe Zhang, Huairui Wang, Zhenzhong Chen et al.
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition
Yuning Qiu, Guoxu Zhou, Andong Wang et al.
Image Processing GNN: Breaking Rigidity in Super-Resolution
Yuchuan Tian, Hanting Chen, Chao Xu et al.
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.
Computing the Why-Provenance for Datalog Queries via SAT Solvers
Haitong Luo, Xuying Meng, Suhang Wang et al.
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
Shalmali Joshi, Junzhe Zhang, Elias Bareinboim
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
Yuewen Sun, Erli Wang, Biwei Huang et al.
Evolving Parameterized Prompt Memory for Continual Learning
Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
Ke Liang, Lingyuan Meng, Sihang Zhou et al.
Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings
Yakun Chang, Yeliduosi Xiaokaiti, Yujia Liu et al.
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
Suyuan Liu, KE LIANG, Zhibin Dong et al.
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks
Xianda Zhang, Baolin Zheng, Jianbao Hu et al.
Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation
Jing Li, Junsong Fan, Yuran Yang et al.
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition
Jin Huang, Danfeng Yan, Yuanqiang Cai
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning
Chuangchuang Tan, Yao Zhao, Shikui Wei et al.
Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting
Mojtaba Elahi, Jussi Rintanen
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention
Naman Shah, Siddharth Srivastava
GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes
Haozhe Lin, Chunyu Wei, Li He et al.
MuST: Robust Image Watermarking for Multi-Source Tracing
Guanjie Wang, Zehua Ma, Chang Liu et al.
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification
Zhenyu Cui, Yuxin Peng, Xun Wang et al.
Communication Efficient Distributed Newton Method over Unreliable Networks
Ming Wen, Chengchang Liu, Yuedong Xu
Learning Performance Maximizing Ensembles with Explainability Guarantees
Vincent Pisztora, Jia Li
Weakly Misalignment-free Adaptive Feature Alignment for UAVs-based Multimodal Object Detection
Chen Chen, Jiahao Qi, Xingyue Liu et al.
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
Wenbo Wang, Bingquan Liu, Lili Shan et al.
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
Jiayuan Chen, Kehan Guo, Zhen Liu et al.
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
Huankang Guan, Rynson W.H. Lau
Bilateral Gradual Semantics for Weighted Argumentation
MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction
Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita
E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator
Wenjun Wu, Lingling Zhang, Jun Liu et al.
SeqRank: Sequential Ranking of Salient Objects
Enhancing Training of Spiking Neural Network with Stochastic Latency
Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.
Unifying Decision and Function Queries in Stochastic Boolean Satisfiability
Yu-Wei Fan, Jie-Hong Jiang
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
Brian Zhang, Tuomas Sandholm
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
Wenxuan Wang, Tongtian Yue, Yisi Zhang et al.
PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images
Diantao Tu, Hainan Cui, Xianwei Zheng et al.
Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems
Haoquan Zhang, Ronggang Huang, Yi Xie et al.
Multi-agent Collaborative Perception via Motion-aware Robust Communication Network
Shixin Hong, Yu LIU, Zhi Li et al.
Language-only Training of Zero-shot Composed Image Retrieval
Geonmo Gu, Sanghyuk Chun, Wonjae Kim et al.
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
Haoyang Li, Xin Wang, Zeyang Zhang et al.
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
Ji Cheng, Bo Xue, Jiaxiang Yi et al.
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
Yuanmin Huang, Mi Zhang, Daizong Ding et al.
LiSA: LiDAR Localization with Semantic Awareness
Bochun Yang, Zijun Li, Wen Li et al.
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
Yuhao Wang, Qiang Zhang, Ming Qin et al.
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
Zeping Min, Jinfeng Bai, Chengfei Li
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
Longguang Wang, Juncheng Li, Yingqian Wang et al.
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu, Xinyun Zhang, Peng Xu et al.
iToF-flow-based High Frame Rate Depth Imaging
Yu Meng, Zhou Xue, Xu Chang et al.
Rethinking Human Motion Prediction with Symplectic Integral
Haipeng Chen, Kedi L yu, Zhenguang Liu et al.
DiVAS: Video and Audio Synchronization with Dynamic Frame Rates
Clara Maria Fernandez Labrador, Mertcan Akcay, Eitan Abecassis et al.