Papers
Symbolic Reasoning Methods for AI Planning
Gregor Behnke
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 Models
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.
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
Longxiang Liu, Xiuxing Li, Yang Feng
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 J. Norman et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
Target Focused Shallow Transformer Framework for Efficient Visual Tracking
Md Maklachur Rahman
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract)
Aleksander Obuchowski, Barbara Klaudel, Piotr Frąckowski et al.
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