Papers
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.
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz, Ziyu Liu, Thomas Steinke
The Emergence of Individuality
Jiechuan Jiang, Zongqing Lu
The Heavy-Tail Phenomenon in SGD
Mert Gurbuzbalaban, Umut Simsekli, Lingjiong Zhu
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan, Max Welling
The Impact of Record Linkage on Learning from Feature Partitioned Data
Richard Nock, Stephen Hardy, Wilko Henecka et al.
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
Bohan Wang, Qi Meng, Wei Chen et al.
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
The Lipschitz Constant of Self-Attention
Hyunjik Kim, George Papamakarios, Andriy Mnih
The Logical Options Framework
Brandon Araki, Xiao Li, Kiran Vodrahalli et al.