Deep Learning
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe, Peter O'Connor, Bastiaan Veeling
In this paper, we introduce a novel learning approach,Greedy InfoMax (GIM), that improves upon these problems.
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators Taesik Gong
Tiny machine learning (TinyML) aims to run ML models on small devices and is increasingly favored for its enhanced privacy, reduced latency, and low cost.
Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions
We introduce Parsel, a framework enabling automatic implementation and validation of complex algorithms with code LLMs.
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, SETON STEVEN BOCCO, Max Smith, Satya O.-G., Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville
Neural Information Processing Systems http://nips.cc/
