Most Cited 2024 "conditional score networks" Papers

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Yuguang Yan, Zhihao Xu, Canlin Yang et al.

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

Kunlun Zeng, Ri Cheng, Weimin Tan et al.

De-biased Attention Supervision for Text Classification with Causality

Yiquan Wu, Yifei Liu, Ziyu Zhao et al.

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

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

N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li et al.

Quantifying and Analyzing Entity-Level Memorization in Large Language Models

Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen et al.

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms

Manon Flageat, Bryan Lim, Antoine Cully

Learning Reduced Fluid Dynamics

Zherong Pan, Xifeng Gao, Kui Wu

CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry

Yingrui Wu, Mingyang Zhao, Keqiang Li et al.

EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction

Longzhong Lin, Xuewu Lin, Tianwei Lin et al.

Non-flat ABA Is an Instance of Bipolar Argumentation

Markus Ulbricht, Nico Potyka, Anna Rapberger et al.

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.

A New Benchmark and Model for Challenging Image Manipulation Detection

Zhenfei Zhang, Mingyang Li, Ming-Ching Chang

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

Yibo Wang, Wenhao Yang, Wei Jiang et al.

Combinatorial Stochastic-Greedy Bandit

Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini 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

A Non-parametric Graph Clustering Framework for Multi-View Data

Shengju Yu, Siwei Wang, Zhibin Dong et al.

Recurrent Partial Kernel Network for Efficient Optical Flow Estimation

VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation

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

Weibo Gao, Qi Liu, Hao Wang et al.

Object-Aware Domain Generalization for Object Detection

WooJu Lee, Dasol Hong, Hyungtae Lim et al.

Triple Feature Disentanglement for One-Stage Adaptive Object Detection

Haoan Wang, Shilong Jia, Tieyong Zeng et al.

Influential Exemplar Replay for Incremental Learning in Recommender Systems

Xinni Zhang, Yankai Chen, Chenhao Ma et al.

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Longtian Qiu, Shan Ning, Xuming He

ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model

Qixin Wang, Chaoqiong Fan, Tianyuan Jia et al.

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Ruihao Gong, Yang Yong, Zining Wang et al.

Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models

Hongwei Yu, Jiansheng Chen, Xinlong Ding et al.

LDMVFI: Video Frame Interpolation with Latent Diffusion Models

Duolikun Danier, Fan Zhang, David Bull

Curved Representation Space of Vision Transformers

Juyeop Kim, Junha Park, Songkuk Kim et al.

SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting

Jie Wu, Yuchao Feng, Honghui Xu et al.

Social Physics Informed Diffusion Model for Crowd Simulation

Hongyi Chen, Jingtao Ding, Yong Li et al.

Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks

Thomas Krapf, Michael Hagn, Paul Miethaner et al.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Jingxuan He, Lechao Cheng, Chaowei Fang et al.

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Junjie Chen, Jiahao Li, Chen Song et al.

Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

Zexin Hu, Kun Hu, Clinton Mo et al.

CoPL: Contextual Prompt Learning for Vision-Language Understanding

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan et al.

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang et al.

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

Lu Liu, Mingyu Xiao, Yi Zhou

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

Fangyuan Zhang, Tianxiang Pan, Junhai Yong et al.

KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum K-defective Clique Problem

Jiongzhi Zheng, Mingming Jin, Kun He

Directed Diffusion: Direct Control of Object Placement through Attention Guidance

Wan-Duo Ma, Avisek Lahiri, J. P. Lewis 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.

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi 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

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games

STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming

Vincent Conitzer, Yueqian Wang, Yuxuan Wang et al.

Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening

GSDD: Generative Space Dataset Distillation for Image Super-resolution

Haiyu Zhang, Shaolin Su, Yu Zhu et al.

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

Bowen Wang, Chen Liang, Jiaze Wang et al.

CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data

Jiangming Shi, Shanshan Zheng, Xiangbo Yin et al.

REPrune: Channel Pruning via Kernel Representative Selection

Mincheol Park, Dongjin Kim, Cheonjun Park et al.

Seeing Dark Videos via Self-Learned Bottleneck Neural Representation

Haofeng Huang, Wenhan Yang, Lingyu Duan et al.

NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs

Sihwa Park, Seongjun Kim, Doeyoung Kwon et al.

Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation

Li Ren, Chen Chen, Liqiang Wang et al.

Implicit Modeling of Non-rigid Objects with Cross-Category Signals

Yuchun Liu, Benjamin Planche, Meng Zheng et al.

Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit

Shintaro Nakamura, Masashi Sugiyama

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

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik et al.

SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation

Xiaoqi An, Lin Zhao, Chen Gong et al.

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging

Dalong Chen, Jianjia Zhang, Wei-shi Zheng et al.

End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding

Hai Wan, Pingjia Liang, Jianfeng Du et al.

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction

Mengpu Liu, Mengying Zhu, Xiuyuan Wang et al.

An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

A Goal Interaction Graph Planning Framework for Conversational Recommendation

Xiaotong Zhang, Xuefang Jia, Han Liu et al.

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation

Bin Shang, Yinliang Zhao, Jun Liu et al.

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang et al.

Learning Image Demoireing from Unpaired Real Data

Yunshan Zhong, Zhou Yuyao, Yuxin Zhang et al.

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Fei Ye, Adrian Bors

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis

Mingshan Chang, Min Yang, Qingshan Jiang et al.

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao et al.

Weakly-Supervised Mirror Detection via Scribble Annotations

Mingfeng Zha, Yunqiang Pei, Guoqing Wang et al.

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward

Dapeng Zhi, Peixin Wang, Cheng Chen et al.

OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-resolution

Yang Wang, Tao Zhang

Towards the Robustness of Differentially Private Federated Learning

Tao Qi, Huili Wang, Yongfeng Huang

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hua Wei et al.

Knowledge-Aware Neuron Interpretation for Scene Classification

Yong Guan, Freddy Lecue, Jiaoyan Chen et al.

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic

Maximilian Pflüger, David Tena Cucala, Egor Kostylev

Tackling Vision Language Tasks through Learning Inner Monologues

Diji Yang, Kezhen Chen, Jinmeng Rao et al.

When CEGAR Meets Regression: A Love Story in Optimal Classical Planning

Martín Pozo, Alvaro Torralba, Carlos Linares Lopez

U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

Ritwik Vashistha, Arya Farahi

CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Tao Wu, Tie Luo, Donald Wunsch

Semantic-Aware Transformation-Invariant RoI Align

Guo-Ye Yang, Kiyohiro Nakayama, Zi-Kai Xiao et al.

Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework

Weixi Weng, Chun Yuan

Polyper: Boundary Sensitive Polyp Segmentation

Hao Shao, Yang Zhang, Qibin Hou

An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning

Zhe Zhang, Xiaoyang Tan

M-BEV: Masked BEV Perception for Robust Autonomous Driving

Siran Chen, Yue Ma, Yu Qiao et al.

You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification

Yongqiang Zheng, Xia Li

Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction

Jianping Zhu, Xin Guo, Yang Chen et al.

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer

Yabing Wang, Fan Wang, Jianfeng Dong et al.

Mutual-Modality Adversarial Attack with Semantic Perturbation

Jingwen Ye, Ruonan Yu, Songhua Liu et al.

Hyperbolic Graph Diffusion Model

Lingfeng Wen, Xuan Tang, Mingjie Ouyang et al.

Mitigating Label Noise through Data Ambiguation

Julian Lienen, Eyke Hüllermeier

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

Sampling-Resilient Multi-Object Tracking

Zepeng Li, Dongxiang Zhang, Sai Wu et al.

No More Shortcuts: Realizing the Potential of Temporal Self-Supervision

Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah

AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack

Ruikui Wang, Yuanfang Guo, Yunhong Wang

AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection

Jingchun Zhou, Zongxin He, Kin-Man Lam et al.

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

Shujuan Li, Junsheng Zhou, Baorui Ma et al.

RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation

Wensi Liu, Xiao-Yu Tang, Chong Yang et al.

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders

Junru Song, Yang Yang, Wei Peng et al.

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs

Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.

Privileged Prior Information Distillation for Image Matting

Cheng Lyu, Jiake Xie, Bo Xu et al.

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao et al.

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Zi Wang, Huaibo Huang, Aihua Zheng et al.

Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover

Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono et al.

A General Implicit Framework for Fast NeRF Composition and Rendering

Xinyu Gao, Ziyi Yang, Yunlu Zhao et al.

SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing

Wenmin Huang, Weiqi Luo, Jiwu Huang et al.

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset

Haolong Li, Chenghao Du, Ziheng Jiang et al.

Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing

Yue Guan, Mohammad Afshari, Panagiotis Tsiotras

Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee et al.

Quality-Diversity Generative Sampling for Learning with Synthetic Data

Allen Chang, Matthew C. Fontaine, Serena Booth et al.

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao et al.

TaskLAMA: Probing the Complex Task Understanding of Language Models

Quan Yuan, Mehran Kazemi, Xin Xu et al.

Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning

Simon Dold, Malte Helmert

High-Fidelity Gradient Inversion in Distributed Learning

Zipeng Ye, Wenjian Luo, Qi Zhou et al.

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets

Zhirui Yang, Yulan Hu, Sheng Ouyang et al.

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Na FAN, Zeyue Tian, Amartansh DUBEY et al.

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning

1903 Yiqi Dong, Dongxiao He, Xiaobao Wang et al.

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection

2964 Jun Wei, S. Kevin Zhou, Shuguang Cui et al.

Occluded Person Re-identification via Saliency-Guided Patch Transfer

821 Lei Tan, Jiaer Xia, Wenfeng Liu et al.

Robust Loss Functions for Training Decision Trees with Noisy Labels

12831 Jonathan Wilton, Nan Ye

Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding

6627 Peijun Bao, Yong Xia, Wenhan Yang et al.

Online Sensitivity Optimization in Differentially Private Learning

8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta

SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain

9044 Zhifeng Zhu, Yaochen Li, Yifan Li et al.

Structural Entropy Based Graph Structure Learning for Node Classification

13155 Liang Duan, Xiang Chen, Wenjie Liu et al.

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

12620 Kyle Mana, Fernando Acero, Stephen Mak et al.

Bayesian Inference with Complex Knowledge Graph Evidence

12846 Armin Toroghi, Scott Sanner

MagiCapture: High-Resolution Multi-Concept Portrait Customization

9256 Junha Hyung, Jaeyo Shin, Jaegul Choo

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

10576 Yuheng Jia, Xiaorui Peng, Ran Wang et al.

Towards More Likely Models for AI Planning

11625 Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.

Generation and Classification Reframing

Fenglong Ma, Hongyang Chen, Hong Yu et al.

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning

Xi Zeng, Xiaotian Hao, Hongyao Tang et al.

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning

Chen BAI, Jianwang Zhai, Yuzhe Ma et al.

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks

Zhe Zhao, Pengkun Wang, HaiBin Wen et al.

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation

QiHao Xu, Xiaoling Luo, Chao Huang et al.

Cross-Domain Contrastive Learning for Time Series Clustering

Furong Peng, Jiachen Luo, Xuan Lu et al.

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

Ruoqi Liu, Lingfei Wu, Ping Zhang

Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation

Ofer Arieli, Kees van Berkel, Christian Straßer

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting

Zhiliang Wu, Changchang Sun, Hanyu Xuan et al.

Learning Multi-Task Sparse Representation Based on Fisher Information

Yayu Zhang, Yuhua Qian, Guoshuai Ma et al.

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

Shenshen Li, Chen He, Xing Xu et al.

GridFormer: Point-Grid Transformer for Surface Reconstruction

Shengtao Li, Ge Gao, Yudong Liu et al.

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Hongcai He, Anjie Zhu, Shuang Liang et al.

Nearly Equitable Allocations beyond Additivity and Monotonicity

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On

Chenghu Du, Junyin Wang, Yi Rong et al.

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

Zachary Horvitz, Ajay Patel, Chris Callison-Burch et al.

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games

Pengdeng Li, Runsheng Yu, Xinrun Wang et al.

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement

Yang Fan, Xiangping Wu, Qingcai Chen et al.

Learning Cluster-Wise Anchors for Multi-View Clustering

Chao Zhang, Xiuyi Jia, Zechao Li et al.

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce

Li Yangning, Shirong Ma, Xiaobin Wang et al.

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji et al.

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning

Huiping Zhuang, Run He, Kai Tong et al.

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding

Zhen Chen, Dalin Zhang, Shanshan Feng et al.

Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond

Thanh Vu, Baochen Sun, Bodi Yuan et al.

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.

Stitching Segments and Sentences towards Generalization in Video-Text Pre-training

Fan Ma, Xiaojie Jin, Heng Wang et al.

Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation

Xiawei Li, Qingyuan Xu, Jing Zhang et al.

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization

Soumia Boucherouite, Grigory Malinovsky, Peter Richtarik et al.

Other Papers

SoftCLIP: Softer Cross

Modal Alignment Makes CLIP Stronger

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross

Domain Recommendation

Reinforcement Learning and Data

Generation for Syntax-Guided Synthesis

The Irrelevance of Influencers: Information Diffusion with Re

Activation and Immunity Lasts Exponentially Long on Social Network Models

Can Large Language Models Understand Real

World Complex Instructions?

MoDE: A Mixture

of-Experts Model with Mutual Distillation among the Experts

Spanning the Spectrum of Hatred Detection: A Persian Multi

Label Hate Speech Dataset with Annotator Rationales

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision

Language Reasoning Network

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion

Shulei Ji, Xinyu Yang

Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition

Hanxuan Li, Bin Fu, Ruiping Wang et al.

GSENet: Global Semantic Enhancement Network for Lane Detection

Junhao Su, Zhenghan Chen, Chenghao He et al.

DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations

Ruilu Wang, Yang Xue, Lianwen Jin

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation

Siyuan Hu, Zheng Wang, Peng Hu et al.

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

Le Cheng, Peican Zhu, Keke Tang et al.

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer

Hui LIN, Zhiheng Ma, Xiaopeng Hong et al.

Federated Label-Noise Learning with Local Diversity Product Regularization

Xiaochen Zhou, Xudong Wang

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image

Nailei Hei, Qianyu Guo, Zihao Wang et al.

Locally Rainbow Paths

Till Fluschnik, Leon Kellerhals, Malte Renken

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention

Ying-Yu Chen, Jun-Wei Hsieh, Xin Li et al.

Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph

Vasily Alferov, Ivan Bliznets, Kirill Brilliantov

PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang et al.

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du et al.

Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning

Chenyang Zhu, Wen Si, Jinyu Zhu et al.

DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels

Haoran Liu, Ying Ma, Ming Yan et al.

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei xu, Cheng Zhou, Yizheng Zhang et al.

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection

Hongquan Zhang, Bin-Bin Gao, Yi Zeng et al.

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making

Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization

Zhenwei Lin, Jingfan Xia, Qi Deng et al.

High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field

Minghan Qin, Yifan Liu, Yuelang Xu et al.

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming

Haotian Ling, Zhihai Wang, Jie Wang