Most Cited AAAI "inverse dynamics pretraining" Papers
5,317 papers found • Page 27 of 27
Conference
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.
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.
1497 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
Long Tang, Dengpan Ye, Yunna Lv 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.
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
Mengmeng Sheng, Zeren Sun, Zhenhuang Cai 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.