Most Cited AAAI "pessimistic policy learning" Papers

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Yue Zhang, Ming Zhang, HaiPeng Yuan et al.

SeqRank: Sequential Ranking of Salient Objects

Bilateral Gradual Semantics for Weighted Argumentation

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation

Huankang Guan, Rynson W.H. Lau

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, Kehan Guo, Zhen Liu et al.

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Wenbo Wang, Bingquan Liu, Lili Shan et al.

Learning Performance Maximizing Ensembles with Explainability Guarantees

Vincent Pisztora, Jia Li

Communication Efficient Distributed Newton Method over Unreliable Networks

Ming Wen, Chengchang Liu, Yuedong Xu

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

Yiyang Yao, Peng Liu, Tiancheng Zhao et al.

Continual Vision-Language Retrieval via Dynamic Knowledge Rectification

Zhenyu Cui, Yuxin Peng, Xun Wang et al.

MuST: Robust Image Watermarking for Multi-Source Tracing

Guanjie Wang, Zehua Ma, Chang Liu et al.

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution

Yutao Yuan, Chun Yuan

Inconsistency-Based Data-Centric Active Open-Set Annotation

Ruiyu Mao, Ouyang Xu, Yunhui Guo

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention

Naman Shah, Siddharth Srivastava

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

Mojtaba Elahi, Jussi Rintanen

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

Efficient Learning in Polyhedral Games via Best-Response Oracles

Darshan Chakrabarti, Gabriele Farina, Christian Kroer

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.

Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation

Jing Li, Junsong Fan, Yuran Yang 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.

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs

Ke Liang, Lingyuan Meng, Sihang Zhou et al.

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Yuewen Sun, Erli Wang, Biwei Huang et al.

Towards Safe Policy Learning under Partial Identifiability: A Causal Approach

Shalmali Joshi, Junzhe Zhang, Elias Bareinboim

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Wei Xiang, Haoteng YIN, He Wang et al.

Understanding and Leveraging the Learning Phases of Neural Networks

Computing the Why-Provenance for Datalog Queries via SAT Solvers

Haitong Luo, Xuying Meng, Suhang Wang et al.

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.

I-rebalance: Personalized Vehicle Repositioning for Supply Demand Balance

Haoyang Chen, Peiyan Sun, Qiyuan Song et al.

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition

Yuning Qiu, Guoxu Zhou, Andong Wang et al.

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection

Yun Zhu, Le Hui, Yaqi Shen et al.

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition

Han Lu, Xiahai Zhuang, Qiang Luo

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi et al.

Factorized Explainer for Graph Neural Networks

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi et al.

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery

Pengwei Yan, Kaisong Song, Zhuoren Jiang et al.

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language

Xiang Fang, Daizong Liu, Wanlong Fang et al.

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Kailin Li, Lixin Yang, Zenan Lin et al.

SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution

Xiaotong Luo, Yuan Xie, Yanyun Qu et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

Feature Transportation Improves Graph Neural Networks

Moshe Eliasof, Eldad Haber, Eran Treister

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

Xinhui Liu, Zhenghao Chen, Luping Zhou et al.

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli et al.

Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph

Yaolin Zheng, Hongbo Huang, Xiuying Wang et al.

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou et al.

Robust Node Classification on Graph Data with Graph and Label Noise

Yonghua Zhu, Lei Feng, Zhenyun Deng et al.

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization

Houcheng Su, Weihao Luo, Daixian Liu et al.

Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation

Qi Bi, Shaodi You, Theo Gevers

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

Yi Rong, Haoran Zhou, Lixin Yuan et al.

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks

Yongqi Ding, Lin Zuo, Mengmeng Jing et al.

Probabilities of Causation with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

Simple Weak Coresets for Non-decomposable Classification Measures

Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding

Wenjia Geng, Yong Liu, Lei Chen et al.

A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees

Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation

Xinyu Zhang, Meng Kang, Shuai Lü

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains

Md Nasim, Yexiang Xue

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

Ling Ge, Chunming Hu, Guanghui Ma et al.

Foundations of Reactive Synthesis for Declarative Process Specifications

Andrey Rivkin, Luca Geatti, Marco Montali

Exploiting the Social-Like Prior in Transformer for Visual Reasoning

Yudong Han, Yupeng Hu, Xuemeng Song et al.

Urban Region Embedding via Multi-View Contrastive Prediction

Zechen Li, Weiming Huang, Kai Zhao et al.

Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment

Joseph Clements, Yingjie Lao

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu 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.

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Disjoint Partial Enumeration without Blocking Clauses

Giuseppe Spallitta, Roberto Sebastiani, Armin Biere

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks

Zhipeng Qian, Yiwei Ma, Jiayi Ji et al.

Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery

William de Vazelhes, Bhaskar Mukhoty, Xiaotong Yuan et al.

Learning GAI-Decomposable Utility Models for Multiattribute Decision Making

Margot Herin, Patrice Perny, Nataliya Sokolovska

‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation

Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati

Causal-Driven Skill Prerequisite Structure Discovery

Shenbao Yu, Yifeng Zeng, Fan Yang et al.

Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification

Liangwei Chen, Xiren Zhou, Huanhuan Chen

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui et al.

High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification

Liuxiang Qiu, Si Chen, Yan Yan et al.

Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension

Mingmin Wu, Yuxue Hu, Yongcheng Zhang et al.

Online Submodular Maximization via Online Convex Optimization

Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.

Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain

Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following

Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

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

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds

SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer

Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.

Unit Selection with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

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.

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts

Haoqiang Guo, Sendong Zhao, Haochun Wang et al.

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series

Yuxiao Cheng, Lianglong Li, Tingxiong Xiao et al.

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression

Miaohui Wang, Runnan Huang, Hengjin Dong et al.

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

Zeynep G. Saribatur, Stefan Woltran

Chain-of-Thought Improves Text Generation with Citations in Large Language Models

Bin Ji, Huijun Liu, Mingzhe Du et al.

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

Hypergraph Neural Architecture Search

Wei Lin, Xu Peng, Zhengtao Yu et al.

Box2Poly: Memory

Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text - Xuyang Chen, Dong Wang, Konrad Schindler et al.

Machine Learning

Powered Combinatorial Clock Auction - Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss et al.

Boosting Few

Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.

InstructDoc: A Dataset for Zero

Shot Generalization of Visual Document Understanding with Instructions - Ryota Tanaka, Taichi Iki, Kyosuke Nishida et al.

LSTKC: Long Short

Term Knowledge Consolidation for Lifelong Person Re-identification - Kunlun Xu, Xu Zou, Jiahuan Zhou

Interpretable3D: An Ad

Hoc Interpretable Classifier for 3D Point Clouds - Tuo Feng, Ruijie Quan, Xiaohan Wang et al.

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

Mengjie Wu, Jingui Ma, Run Wang et al.

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

Yuelong Li, Tengfei Xiao, Lei Geng et al.

Learning Only When It Matters: Cost

Aware Long-Tailed Classification - Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye et al.

MICA: Towards Explainable Skin Lesion Diagnosis via Multi

Level Image-Concept Alignment - Yequan Bie, Luyang Luo, Hao Chen

Talk Funny! A Large

Scale Humor Response Dataset with Chain-of-Humor Interpretation - Yuyan Chen, Yichen Yuan, Panjun Liu 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.

Transferable Adversarial Attacks for Object Detection Using Object

Aware Significant Feature Distortion - Xinlong Ding, Jiansheng Chen, Hongwei Yu et al.

Taxonomy Driven Fast Adversarial Training

Kun Tong, Chengze Jiang, Jie Gui et al.

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation

Lianggangxu Chen, Youqi Song, Shaohui Lin et al.

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

Yuanyuan Mao, Xin Lin, Qin Ni et al.

Semantic-Guided Novel Category Discovery

Weishuai Wang, Ting Lei, Qingchao Chen et al.

Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications

Poonam Goyal, Arshveer Kaur, Arvind Ram et al.

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems

Zhiguang Yang, Liufang Sang, Haoran Wang et al.

Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms

Tianhao Lu, Chao Bian, Chao Qian

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

Renhong Huang, Jiarong Xu, Xin Jiang et al.

Continual Relation Extraction via Sequential Multi-Task Learning

Thanh-Thien Le, Manh Nguyen, Tung Nguyen et al.

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

Fan Xu, Nan Wang, Hao Wu et al.

Bootstrapping Large Language Models for Radiology Report Generation

Chang Liu, Yuanhe Tian, Weidong Chen et al.

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

Xiang Gao, Zhengbo Xu, junhan Zhao et al.

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation

CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

Redefining ABA+ Semantics via Abstract Set-to-Set Attacks

TexFit: Text-Driven Fashion Image Editing with Diffusion Models

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu et al.

Uncertainty-Aware GAN for Single Image Super Resolution

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

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training

Wenjun Li, Pradeep Varakantham

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution

Zhengxue Wang, Zhiqiang Yan, Jian Yang

Patch-Aware Sample Selection for Efficient Masked Image Modeling

Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.

Towards Effective and General Graph Unlearning via Mutual Evolution

Xunkai Li, Yulin Zhao, Zhengyu Wu et al.

Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Gen Li et al.

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking

Wang Yu Hsiang, Jun-Wei Hsieh, Ping-Yang Chen et al.

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning

Xianjie Guo, Kui Yu, Lin Liu et al.

Barely Supervised Learning for Graph-Based Fraud Detection

Hang Yu, Zhengyang Liu, Xiangfeng Luo

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown et al.

Recasting Regional Lighting for Shadow Removal

Yuhao Liu, Zhanghan Ke, Ke Xu et al.

ROG\_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning

Qin Zhang, Jiexin Lu, Xiaowei Li et al.

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Yudong Gao, Honglong Chen, Peng Sun et al.

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo yu Zhang et al.

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change

Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.

A Theory of Non-acyclic Generative Flow Networks

Leo Brunswic, Yinchuan Li, Yushun Xu et al.

Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling

Xinhao Tao, Junyan Cao, Yan Hong et al.

Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures

Yulong Wang

Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction

Shangjian Yin, Peijie Huang, Yuhong Xu

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

Jincen Jiang, Lizhi Zhao, Xuequan Lu et al.

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

Liang He, Yunan Lu, Weiwei Li et al.

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang et al.

Decoupled Optimisation for Long-Tailed Visual Recognition

Cong Cong, Shiyu Xuan, Sidong Liu et al.

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Tianpei Yang, Heng You, Jianye Hao et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

Linmei Hu, Hongyu He, Duokang Wang et al.

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

Mingzhan Yang, Guangxin Han, Bin Yan et al.

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

Hyun Ryu, Sunjae Yoon, Hee Suk Yoon et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

Disentangled Partial Label Learning

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

Disguise without Disruption: Utility-Preserving Face De-identification

Zikui Cai, Zhongpai Gao, Benjamin Planche et al.

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning

Jinshan Zeng, Xianchao Tong, Xianglong Yu et al.

Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution

Wenqian Dong, Yang Xu, Jiahui Qu et al.

Generative Multi-Modal Knowledge Retrieval with Large Language Models

Xinwei Long, Jiali Zeng, Fandong Meng et al.

ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding

Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

Real3D the Curious Case of Neural Scene Degeneration

Dengsheng Chen, Jie Hu, Xiaoming Wei et al.

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

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.

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang et al.

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning

Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection

Jiayi Gao, Kongming Liang, Tao Wei et al.

No Internal Regret with Non-convex Loss Functions

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

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Zhangyong Tang, Tianyang Xu, Xiaojun Wu et al.

Towards Epistemic-Doxastic Planning with Observation and Revision

Thorsten Engesser, Andreas Herzig, Elise Perrotin

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

Yuting Wang, Jinpeng Wang, Bin Chen et al.