Christopher Pal

Fine-grained zero-shot recognition with metric rescaling.

2019 · arXiv (Cornell University)

We address the problem of learning fine-grained cross-modal representations. We propose an instance-based deep metric learning approach in joint visual and textual space. On top of that, we derive a metric rescaling approach that solves …

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

2021 · arXiv (Cornell University)

Inducing causal relationships from observations is a classic problem in machine learning. Most work in causality starts from the premise that the causal variables themselves are observed. However, for AI agents such as robots trying …

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

2018 · PolyPublie (École Polytechnique de Montréal)

A lot of the recent success in natural language processing (NLP) has been driven by distributed vector representations of words trained on large amounts of text in an unsupervised manner. These representations are typically used …