Most Cited AAAI "github issue analysis" Papers
5,317 papers found • Page 26 of 27
Conference
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
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
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.
Towards Molecular Structure Discovery from Cryo-ET Density Volumes via Modelling Auxiliary Semantic Prototypes
Ashwin Nair, Xingjian Li, Mostofa Rafid Uddin et al.
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang et al.
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
Cheng Tan, Zhangyang Gao, Lirong Wu et al.
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
Sungmin Cha, Sungjun Cho, Dasol Hwang et al.
Visual Instruction Tuning with Polite Flamingo
Delong Chen, Jianfeng Liu, Wenliang Dai et al.
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Meihan Liu, Zeyu Fang, Zhen Zhang et al.
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng, Renjun Hu, Haochao Ying et al.
DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images
Mingxin Yi, Kai Zhang, Pei Liu et al.
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
Yuanzhao Zhai, Yiying Li, Zijian Gao et al.
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
Qian Chen, Taolin Zhang, Dongyang Li et al.
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
Qihua Chen, Xuejin Chen, Chenxuan Wang et al.
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation
Zichen Liu, Hongbo Sun, Yuxin Peng et al.
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
Lianbo Ma, Yuee Zhou, Jianlun Ma et al.
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
Ziyi Yin, Muchao Ye, Tianrong Zhang et al.
Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy
Xiao Yun, Chenglong Xu, Kevin Riou et al.
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization
Kai Wang, Haoyu Liu, Zhipeng Hu et al.
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta, Nils Blach, Ales Kubicek et al.
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation
End-to-End Verification for Subgraph Solving
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection
A Unified Environmental Network for Pedestrian Trajectory Prediction
Guoqing Chao, Yi Jiang, Dianhui Chu
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
Changqing Qiu, Fusheng Jin, Yining Zhang
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
Junseok Park, Yoonsung Kim, Hee bin Yoo et al.
Layer Collaboration in the Forward-Forward Algorithm
Guy Lorberbom, Itai Gat, Yossi Adi et al.
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli, Mete Ozay
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton
Vidya Sagar Sharma
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
Xiao Du, Yutong Ye, Pengyu Zhang et al.
DiffSED: Sound Event Detection with Denoising Diffusion
Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit
Uri Stern, Daniel Shwartz, Daphna Weinshall
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
Chenglong Wang, Hang Zhou, Yimin Hu et al.
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction
Jiaxin Huang, Qi Wu, Yazhou Ren et al.
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.
10491 Multi-Granularity Causal Structure Learning
Tianyi Chu, Wei Xing, Jiafu Chen et al.
5602 Consistency-GAN: Training GANs with Consistency Model
Yunpeng Wang, Meng Pang, Shengbo Chen et al.
6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.
2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He, Qianqian Xu, Yangbangyan Jiang et al.
11879 Distributional Off-Policy Evaluation for Slate Recommendations
Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.
8318 Optimal Transport with Tempered Exponential Measures
Ehsan Amid, Frank Nielsen, Richard Nock et al.
10783 The Complexity of Optimizing Atomic Congestion
Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram et al.
3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
Yufei Huang, Siyuan Li, Lirong Wu et al.
780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
Jiaying Zhu, Dong Li, Xueyang Fu et al.
8284 Federated X-armed Bandit
Wenjie Li, Qifan Song, Jean Honorio et al.
3752 Decoupled Textual Embeddings for Customized Image Generation
Yufei Cai, Yuxiang Wei, Zhilong Ji et al.
12181 What Do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning
Caleb Schultz Kisby, Saúl Blanco, Larry Moss
964 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
Neha Kalibhat, Kanika Narang, Hamed Firooz et al.
1066 Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
Yihan Chen, Benfeng Xu, Quan Wang et al.
Neural Oscillators for Generalization of Physics-Informed Machine Learning
Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.
Maximizing Nash Social Welfare under Two-Sided Preferences
Pallavi Jain, Rohit Vaish
NeSyFOLD: A Framework for Interpretable Image Classification
Parth Padalkar, Huaduo Wang, Gopal Gupta
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities
Li Yangning, Tingwei Lu, Hai-Tao Zheng et al.
FLAME: A Small Language Model for Spreadsheet Formulas
Harshit Joshi, José Cambronero Sanchez, Abishai Ebenezer et al.
A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency
Hao Zhang, Xuhui Zuo, Huabing Zhou et al.
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
Xiao Long, Liansheng Zhuang, Aodi Li et al.
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
Yusuf Kalayci, David Kempe, Vikram Kher
Finding Visual Saliency in Continuous Spike Stream
Lin Zhu, Xianzhang Chen, Xiao Wang et al.
Simplicity Bias in Overparameterized Machine Learning
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
Jianping Zhang, Wenwei Gu, Yizhan Huang et al.
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Jiyong Li, Dilshod Azizov, Yang LI et al.
CoLAL: Co-learning Active Learning for Text Classification
Linh Le, Genghong Zhao, Xia Zhang et al.
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths
Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
Wen Huang, Xintao Wu
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
Wenbin Zou, Hongxia Gao, Tian Ye et al.
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
Marcos Conde, Javier Vazquez-Corral, Michael Brown et al.
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
Ziqiao Ao, Jinglai Li
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
Haochen Wu, Shubham Sharma, Sunandita Patra et al.
Multimodal Graph Neural Architecture Search under Distribution Shifts
Jie Cai, Xin Wang, Haoyang Li et al.
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
Yongjian Deng, Hao Chen, Youfu Li
Fine-Grained Distillation for Long Document Retrieval
Yucheng Zhou, Tao Shen, Xiubo Geng et al.
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms
Yadong Xu, Bonan Ni, Weiran Shen et al.
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation
Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
Junhao Shen, Hong Qian, Wei Zhang et al.
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman, Jacobus van der Linden, Emir Demirović
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
Lulu Cao, Yufei Liu, Zhenzhong Wang et al.
Debiased Novel Category Discovering and Localization
Juexiao Feng, Yuhong Yang, Yanchun Xie et al.
SHAP\@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features
Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lecue et al.
Wasserstein Differential Privacy
Chengyi Yang, Jiayin Qi, Aimin Zhou
Bi-directional Adapter for Multimodal Tracking
Bing Cao, Junliang Guo, Pengfei Zhu et al.
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
Tongzhou Zhang, Gang Wang, Yu Chen et al.
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
Gaoge Han, Shaoli Huang, Mingming Gong et al.