Papers
Streaming Bayesian Deep Tensor Factorization
Shikai Fang, Zheng Wang, Zhimeng Pan et al.
STRODE: Stochastic Boundary Ordinary Differential Equation
Hengguan Huang, Hongfu Liu, Hao Wang et al.
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi, Francois Soumis, Simon Lacoste-Julien
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh, Skand Peri, Junghyun Kim et al.
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis, Federico Fusco, Philip Lazos et al.
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas et al.
Supervised Tree-Wasserstein Distance
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Federico Lopez, Beatrice Pozzetti, Steve Trettel et al.
Synthesizer: Rethinking Self-Attention for Transformer Models
Yi Tay, Dara Bahri, Donald Metzler et al.
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
Martijn M Gösgens, Alexey Tikhonov, Liudmila Prokhorenkova
Targeted Data Acquisition for Evolving Negotiation Agents
Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar et al.
Task-Optimal Exploration in Linear Dynamical Systems
Andrew J Wagenmaker, Max Simchowitz, Kevin Jamieson
Taylor Expansion of Discount Factors
Yunhao Tang, Mark Rowland, Remi Munos et al.
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac, Rémy Portelas, Katja Hofmann et al.
Temporal Difference Learning as Gradient Splitting
Rui Liu, Alex Olshevsky
Temporally Correlated Task Scheduling for Sequence Learning
Xueqing Wu, Lewen Wang, Yingce Xia et al.
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung D Nguyen, Rui Shu, Tuan Pham et al.
TempoRL: Learning When to Act
André Biedenkapp, Raghu Rajan, Frank Hutter et al.
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
Greg Yang, Etai Littwin
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
Greg Yang, Edward J. Hu
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo et al.
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan, Mikayel Samvelyan, Lei Mao et al.
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
Zhong Li, Minxue Pan, Tian Zhang et al.
Testing Group Fairness via Optimal Transport Projections
Nian Si, Karthyek Murthy, Jose Blanchet et al.
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer
Berkay Berabi, Jingxuan He, Veselin Raychev et al.