AAAI Papers

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

Wenjia Geng, Yong Liu, Lei Chen et al.

Learning Multi-Task Sparse Representation Based on Fisher Information

Yayu Zhang, Yuhua Qian, Guoshuai Ma et al.

Learning Not to Regret

David Sychrovský, Michal Sustr, Elnaz Davoodi et al.

Learning Only When It Matters: Cost

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

Learning Optimal Advantage from Preferences and Mistaking It for Reward

W Bradley Knox, Stephane Hatgis-Kessell, Sigurdur Orn Adalgeirsson et al.

Learning Performance Maximizing Ensembles with Explainability Guarantees

Vincent Pisztora, Jia Li

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis

Dexu Kong, Anping Zhang, Yang Li

Learning Planning Domains from Non

redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis

Learning Real-World Image De-weathering with Imperfect Supervision

Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.

Learning Reduced Fluid Dynamics

Zherong Pan, Xifeng Gao, Kui Wu

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning

Nicolas Michel, Giovanni Chierchia, Romain Negrel et al.

Learning Robust Rationales for Model Explainability: A Guidance-Based Approach

Learning Safe Action Models with Partial Observability

Hai Le, Brendan Juba, Roni Stern

Learning Small Decision Trees for Data of Low Rank-Width

Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.

Learning Small Decision Trees with Few Outliers: A Parameterized Perspective

Harmender Gahlawat, Meirav Zehavi

Learning Spatially Collaged Fourier Bases for Implicit Neural Representation

Jason Chun Lok Li, Chang Liu, Binxiao Huang et al.

Learning Subject-Aware Cropping by Outpainting Professional Photos

James Hong, Lu Yuan, Michaël Gharbi et al.

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

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

Learning Temporal Resolution in Spectrogram for Audio Classification

Haohe Liu, Xubo Liu, Qiuqiang Kong et al.

Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise

Augusto Santos, Diogo Rente, Rui Seabra et al.

Learning the Topology and Behavior of Discrete Dynamical Systems

Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation

Tianhao Huang, Xuan Pan, Xiangrui Cai et al.

Learning to Approximate Adaptive Kernel Convolution on Graphs

Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.

Learning to Learn Better Visual Prompts

Fengxiang Wang, Wanrong Huang, Shaowu Yang et al.

Learning to Learn in Interactive Constraint Acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns

Learning to Manipulate Artistic Images

Wei Guo, Yuqi Zhang, De Ma et al.

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning

Longkang Li, Siyuan Liang, Zihao Zhu et al.

Learning to Pivot as a Smart Expert

Tianhao Liu, Shanwen Pu, Dongdong Ge et al.

Learning to Prompt Knowledge Transfer for Open-World Continual Learning

Yujie Li, Xin Yang, Hao Wang et al.

Learning to Rank in Generative Retrieval

Yongqi Li, Nan Yang, Liang Wang et al.

Learning to Reweight for Generalizable Graph Neural Network

Zhengyu Chen, Teng Xiao, Kun Kuang et al.

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

Haotian Ling, Zhihai Wang, Jie Wang

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers

Sungmin Cha, Sungjun Cho, Dasol Hwang et al.

Learning Ultrametric Trees for Optimal Transport Regression

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.

Learning Visual Abstract Reasoning through Dual-Stream Networks

Kai Zhao, Chang Xu, Bailu Si

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Aram Davtyan, Paolo Favaro

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize

Sanket Shah, Bryan Wilder, Andrew Perrault et al.

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Zhengqin Xu, Yulun Zhang, Chao Ma et al.

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval

Zhe Ma, Jianfeng Dong, Shouling Ji et al.

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J.X. Guo, Sihan Sun et al.

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection

Hongzhi Gao, Zheng Chen, Zehui Chen et al.

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning

Zeping Min, Jinfeng Bai, Chengfei Li

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

YongJin Yang, Taehyeon Kim, Se-Young Yun

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning

Xin Yu, Rongye Shi, Pu Feng et al.

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

Youbing Hu, Yun Cheng, Anqi Lu et al.