Most Cited AAAI "ultra-low bit-widths" Papers
5,317 papers found • Page 26 of 27
Conference
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
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words
Zhongtian Fu, Kefei Song, Luping Zhou et al.
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding
Haoxiang Wang, Tao Yu, Tianwei Yang et al.
R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Control Diffusion
Jinxiu Liu, Qi Liu
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen et al.
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer
Xiaorui Su, Pengwei Hu, Zhu-Hong You et al.
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang, Mingchen Li, Jiasi Chen et al.
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue
AVSegFormer: Audio-Visual Segmentation with Transformer
Shengyi Gao, Zhe Chen, Guo Chen et al.
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression
Ao Luo, Linxin Song, Keisuke Nonaka et al.
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera
Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.
Pandora’s Problem with Deadlines
Ben Berger, Tomer Ezra, Michal Feldman et al.
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition
Jiadong Wang, Zexu Pan, Malu Zhang et al.
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation
Xingyu Liu, Pengfei Ren, Yuanyuan Gao et al.
Learning to Manipulate Artistic Images
Wei Guo, Yuqi Zhang, De Ma et al.
Structured Probabilistic Coding
Dou Hu, Lingwei Wei, Yaxin Liu et al.
Expressive Multi-Agent Communication via Identity-Aware Learning
Wei Du, Shifei Ding, Lili Guo et al.
AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion
Beibei Jing, Youjia Zhang, Zikai Song et al.
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
Dixi Yao, Baochun Li
Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images
Shanding Diao, Yuan Chen, Yang Zhao et al.
Approximate Distance Oracle for Fault-Tolerant Geometric Spanners
Kyungjin Cho, Jihun Shin, Eunjin Oh
Data-Free Generalized Zero-Shot Learning
Bowen Tang, Jing Zhang, Yan Long et al.
Machine-Created Universal Language for Cross-Lingual Transfer
Yaobo Liang, Quanzhi Zhu, Junhe Zhao et al.
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
Xingyu Zhu, Guanhui Ye, Xiapu Luo et al.
TREE-G: Decision Trees Contesting Graph Neural Networks
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods
Luisa Werner, Nabil Layaïda, Pierre Genevès et al.
Knowledge Graph Error Detection with Contrastive Confidence Adaption
Xiangyu Liu, Yang Liu, Wei Hu
Spatial Transform Decoupling for Oriented Object Detection
Hongtian Yu, Yunjie Tian, Qixiang Ye et al.
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
Xin Zou, Weiwei Liu
Patch-Wise Graph Contrastive Learning for Image Translation
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
Shenglong Zhou, Zhiwei Xiong, Feng Wu
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing
Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection
Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming
Srikar Appalaraju, Peng Tang, Qi Dong et al.
DiG-In-GNN: Discriminative Feature Guided GNN-based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
Jinghui Zhang, Zhengjia Xu, Dingyang Lv et al.
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
Boshi Tang, Zhiyong Wu, Xixin Wu et al.
SA²VP: Spatially Aligned-and-Adapted Visual Prompt
Wenjie Pei, Tongqi Xia, Fanglin Chen et al.
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
Bingjun Luo, Haowen Wang, Jinpeng Wang et al.
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
Ruiyuan Zhang, Jiaxiang Liu, Zexi Li et al.
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving
Daniel Coelho, Miguel Oliveira, Vitor Santos
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
En Yu, Jie Lu, Bin Zhang et al.
Region-Aware Exposure Consistency Network for Mixed Exposure Correction
Jin Liu, Huiyuan Fu, Chuanming Wang et al.
Arbitrary-Scale Video Super-resolution Guided by Dynamic Context
Cong Huang, jiahao Li, Lei Chu et al.
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition
Junyi Wu, Yan Huang, Min Gao et al.
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
Binghui Xie, Yongqiang Chen, Jiaqi Wang et al.
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
Guy Yariv, Itai Gat, Sagie Benaim et al.
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal et al.
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
Haicheng Liao, Zhenning Li, Huanming Shen et al.
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
Yantian Zha, Lin Guan, Subbarao Kambhampati
MDFL: Multi-Domain Diffusion-Driven Feature Learning
Daixun Li, Weiying Xie, Jiaqing Zhang et al.
Sample-Constrained Black Box Optimization for Audio Personalization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
Maxileximin Envy Allocations and Connected Goods
Gianluigi Greco, Francesco Scarcello
Shuffled Deep Regression
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
Yang Yao, Xin Wang, Yijian Qin et al.
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
Jianping Zhang, Yizhan Huang, Zhuoer Xu et al.
DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification
Tony Alex, Sara Ahmed, Armin Mustafa et al.
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
Junren CHEN, Zhaoqiang Liu
Omnidirectional Image Super-resolution via Bi-projection Fusion
Jiangang Wang, Yuning Cui, Yawen Li et al.
Video Event Extraction with Multi-View Interaction Knowledge Distillation
Kaiwen Wei, Du Runyan, Li Jin et al.
Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation
Lianggangxu Chen, Youqi Song, Yiqing Cai et al.
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
GeonU Kim, Kim Youwang, Tae-Hyun Oh
Divide and Conquer: Hybrid Pre-training for Person Search
Yanling Tian, Di Chen, Yunan Liu et al.
Optimize & Reduce: A Top-Down Approach for Image Vectorization
Or Hirschorn, Amir Jevnisek, Shai Avidan
Proportional Aggregation of Preferences for Sequential Decision Making
Nikhil Chandak, Shashwat Goel, Dominik Peters
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
Yijun Ma, Chaozhuo Li, Xiao Zhou
Limited Query Graph Connectivity Test
Mingyu Guo, Jialiang Li, Aneta Neumann et al.
Dynamic Budget Throttling in Repeated Second-Price Auctions
Zhaohua Chen, Chang Wang, Qian Wang et al.
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
Dongrui Gao, Haokai Zhang, Pengrui Li et al.
Data Roaming and Quality Assessment for Composed Image Retrieval
Matan Levy, Rami Ben-Ari, Nir Darshan et al.
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
Rui Li, LiYang He, Qi Liu et al.
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.
Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding
Jingping Liu, Mingchuan Zhang, Weichen Li et al.
Analytically Tractable Models for Decision Making under Present Bias
Yasunori Akagi, Naoki Marumo, Takeshi Kurashima
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
Qirui Ji, Jiangmeng Li, Jie Hu et al.
A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
Ruili Pu, Yang Li, Jun Zhao et al.
Large Occluded Human Image Completion via Image-Prior Cooperating
Hengrun Zhao, Yu Zeng, Huchuan Lu et al.
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding
Tianyu Yu, Chengyue Jiang, Chao Lou et al.
Non-excludable Bilateral Trade between Groups
Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer
Learning to Learn in Interactive Constraint Acquisition
Dimosthenis Tsouros, Senne Berden, Tias Guns
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Zhongxi Chen, Ke Sun, Xianming Lin
Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models
Hieu Man, Franck Dernoncourt, Thien Huu Nguyen
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
Yogesh Kumar, Saswat Mallick, Anand Mishra et al.
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
Huy Hoang, Tien Mai, Pradeep Varakantham
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang, Peixin Qin, Wenqiang Lei et al.
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point
Peizhi Zhao, Shiyi Zheng, Wenye Zhao et al.
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
Nhat Hoang, Kehong Gong, Chuan Guo et al.
Relational Programming with Foundational Models
Ziyang Li, Jiani Huang, Jason Liu et al.
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment
Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman
Responsibility in Extensive Form Games
Personalized Reinforcement Learning with a Budget of Policies
Dmitry Ivanov, Omer Ben-Porat
Repurposing Ensemble of Black-Box Models to New Task Domains
Minh Hoang, Nghia Hoang
Abstraction of Situation Calculus Concurrent Game Structures
Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization
Hao Wang, Fang Liu, Licheng Jiao et al.
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
Urchade Zaratiana, Nadi Tomeh, Pierre Holat et al.
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
Jiaxin Pan, Mojtaba Nayyeri, Yinan Li et al.
Causal Representation Learning via Counterfactual Intervention
Xiutian Li, Siqi Sun, Rui Feng
Improving Factual Error Correction by Learning to Inject Factual Errors
Xingwei He, Qianru Zhang, A-Long Jin et al.
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation
Xin Lin, Chong Shi, Yibing Zhan et al.
Improving Automatic VQA Evaluation Using Large Language Models
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
Layer-Wise Representation Fusion for Compositional Generalization
Yafang Zheng, Lei Lin, Shuangtao Li et al.
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
Nannan Wu, Zhaobin Sun, Zengqiang Yan et al.
MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis
Wenhao Guan, Yishuang Li, Tao Li et al.
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
Jia Wang, Wuqiang Su, Zushu Huang et al.
Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery
Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty
Generating Images of Rare Concepts Using Pre-trained Diffusion Models
Dvir Samuel, Rami Ben-Ari, Simon Raviv et al.
CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM
Xiaohan Li, Dong Liu, Jun Wu
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
Shuzhi Cao, Jianfei Ruan, Bo Dong et al.
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
Dashan Gao, Sheng Wan, Lixin Fan et al.
Manipulation-Robust Selection of Citizens’ Assemblies
Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.
Structure-Aware Multimodal Sequential Learning for Visual Dialog
Youngjin Kim, Min-Jun Kim, Kyunghwan An et al.
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee
Content Filtering with Inattentive Information Consumers
Justin Grana, Alex Slivkins, Brendan Lucier et al.
Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling
Vittorio Bilò, Cosimo Vinci
Optimal Quasi-clique: Hardness, Equivalence with Densest-$k$-Subgraph, and Quasi-partitioned Community Mining
Aritra Konar, Nicholas Sidiropoulos
Learning Real-World Image De-weathering with Imperfect Supervision
Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention
Xue Wen, Lianxin Xie, Le Jiang et al.
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification
Xin Tan, Ce Zhao, Chengliang Liu et al.
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance
Yun Zhong, Yiannis Demiris
Assessment via Transformer Text Prompting
CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition
Weihao You, Pengcheng Wang, Changlong Li et al.
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
Neural Embeddings for kNN Search in Biological Sequence
Zhihao Chang, Linzhu Yu, Yanchao Xu et al.
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
Qiming Liu, Xiang Ao, Yuyao Guo et al.
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
Wen Yang, Jinjian Wu, Jupo Ma et al.
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models
Kun Zhang, Jiali Zeng, Fandong Meng et al.
Automated Defect Report Generation for Enhanced Industrial Quality Control
Jiayuan Xie, Zhiping Zhou, Zihan Wu et al.
A Computation-Aware Shape Loss Function for Point Cloud Completion
Shunran Zhang, Xiubo Zhang, Tsz Nam Chan et al.