30 citations · 63 across the 10 of their papers we have counts for
5 papers · 1 filter
Layer-Stack Temperature Scaling
Amr Khalifa, Michael C. Mozer, Hanie Sedghi +2
Recent works demonstrate that early layers in a neural network contain useful information for prediction. Inspired by this, we show that extending temperature scaling across all la…
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Tyler R. Scott, Ting Liu, Michael C. Mozer +1
Recent research in clustering face embeddings has found that unsupervised, shallow, heuristic-based methods -- including -means and hierarchical agglomerative clustering -- unde…
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
Dianbo Liu, Vedant Shah, Oussama Boussif +6
In Multi-Agent Reinforcement Learning (MARL), specialized channels are often introduced that allow agents to communicate directly with one another. In this paper, we propose an alt…
Overcoming Temptation: Incentive Design For Intertemporal Choice
Shruthi Sukumar, Adrian F. Ward, Camden Elliott-Williams +2
Individuals are often faced with temptations that can lead them astray from long-term goals. We're interested in developing interventions that steer individuals toward making good…
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization
Dianbo Liu, Alex Lamb, Xu Ji +4
Vector Quantization (VQ) is a method for discretizing latent representations and has become a major part of the deep learning toolkit. It has been theoretically and empirically sho…