AAAI Papers

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering

Jing Wang, Songhe Feng, Gengyu Lyu et al.

SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation

Wenxi Yue, Jing Zhang, Kun Hu et al.

Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes

Ke Wu, Kaizhao Zhang, Mingzhe Gao et al.

SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection

Xin Jin, Kai Liu, Cong Ma et al.

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao et al.

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

Jie Wu, Yuchao Feng, Honghui Xu et al.

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems

Junhao Shen, Hong Qian, Wei Zhang et al.

Symbolic Numeric Planning with Patterns

Matteo Cardellini, E. Giunchiglia, M. Maratea

Symbolic Regression Enhanced Decision Trees for Classification Tasks

Kei Sen Fong, Mehul Motani

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Symmetric Self-Paced Learning for Domain Generalization

Di Zhao, Yun Sing Koh, Gillian Dobbie et al.

Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos

Seoha Kim, Jeongmin Bae, Youngsik Yun et al.

Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction

Da Luo, Yanglei Gan, Rui Hou et al.

Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement

Dehuan Zhang, Jingchun Zhou, Chunle Guo et al.

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion

Chong Mou, Xintao Wang, Liangbin Xie et al.

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration

Chuxiong Sun, Zehua Zang, Jiabao Li et al.

Table of Contents

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification

Rui Song, Fausto Giunchiglia, Yingji Li et al.

Tackling Vision Language Tasks through Learning Inner Monologues

Diji Yang, Kezhen Chen, Jinmeng Rao et al.

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training

Yuqi Lin, Minghao Chen, Kaipeng Zhang et al.

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection

Jiankang Chen, Tong Zhang, Wei-shi Zheng et al.

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

Yijun Ma, Chaozhuo Li, Xiao Zhou

Talk Funny! A Large

Scale Humor Response Dataset with Chain-of-Humor Interpretation - Yuyan Chen, Yichen Yuan, Panjun Liu et al.

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy Norman et al.

Targeted Activation Penalties Help CNNs Ignore Spurious Signals

Dekai Zhang, Matt Williams, Francesca Toni

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Jiamin Wu, Xin Liu, Xiaotian Yin et al.

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks

Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong et al.

Task Contamination: Language Models May Not Be Few-Shot Anymore

Changmao Li, Jeffrey Flanigan

Task-Disruptive Background Suppression for Few-Shot Segmentation

Suho Park, SuBeen Lee, Sangeek Hyun et al.

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction

Zhixuan Chu, Mengxuan Hu, Qing Cui et al.

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

Fei Ye, Adrian Bors

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Fei Ye, Adrian Bors

TaskLAMA: Probing the Complex Task Understanding of Language Models

Quan Yuan, Mehran Kazemi, Xin Xu et al.

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

Taxonomy Driven Fast Adversarial Training

Kun Tong, Chengze Jiang, Jie Gui et al.

TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection

Tianxiang Chen, Zhentao Tan, Qi Chu et al.

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling

Shimin Zhang, Qu Yang, Chenxiang Ma et al.

TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Xin Lin, Chong Shi, Yibing Zhan et al.

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

Yang Fan, Xiangping Wu, Qingcai Chen et al.

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation

Hyunjune Shin, Dong-Wan Choi

Teaching Large Language Models to Translate with Comparison

Jiali Zeng, Fandong Meng, Yongjing Yin et al.

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning

Siheng Xiong, Yuan Yang, Ali Payani et al.

Temporal Adaptive RGBT Tracking with Modality Prompt

Hongyu Wang, Xiaotao Liu, Yifan Li et al.

Temporal Correlation Vision Transformer for Video Person Re-Identification

Pengfei Wu, Le Wang, Sanping Zhou et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao et al.