Papers
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Brendan Ross, Jesse Cresswell
Tractable Regularization of Probabilistic Circuits
Anji Liu, Guy Van den Broeck
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang, Huan Zhang, Yuanyuan Shi et al.
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla et al.
Training Neural Networks is ER-complete
Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung, Varun Nair, Colin A Raffel
Training Over-parameterized Models with Non-decomposable Objectives
Harikrishna Narasimhan, Aditya K Menon
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu, Carl Yang, Yidan Xu et al.
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Aljaz Bozic, Pablo Palafox, Justus Thies et al.
Transformer in Transformer
Kai Han, An Xiao, Enhua Wu et al.
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang, Shiyu Chang, Zhangyang Wang
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Shengcai Liao, Ling Shao
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao, Hao Bian, Yang Chen et al.
Tree in Tree: from Decision Trees to Decision Graphs
Bingzhao Zhu, Mahsa Shoaran
TriBERT: Human-centric Audio-visual Representation Learning
Tanzila Rahman, Mengyu Yang, Leonid Sigal
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Zhuolin Yang, Linyi Li, Xiaojun Xu et al.
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
Truncated Marginal Neural Ratio Estimation
Benjamin K Miller, Alex Cole, Patrick Forré et al.
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma, Zongbo Han, Changqing Zhang et al.
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Yuejiang Liu, Parth Kothari, Bastien van Delft et al.
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Ge Yang, Edward Hu, Igor Babuschkin et al.
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
Jack Parker-Holder, Vu Nguyen, Shaan Desai et al.