Search Results for author: Rishab Goel

Found 9 papers, 6 papers with code

DDXPlus: A new Dataset for Medical Automatic Diagnosis

1 code implementation18 May 2022 Arsene Fansi Tchango, Zhi Wen, Rishab Goel, Joumana Ghosn

In this work, we present a large-scale synthetic dataset that includes a differential diagnosis, along with the ground truth pathology, for each patient.

Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions

1 code implementation7 Mar 2022 David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow

This presents an interesting machine learning challenge: can we predict runtime errors in a "static" setting, where program execution is not possible?

Learning to Execute

Data-Efficient Reinforcement Learning with Self-Predictive Representations

1 code implementation ICLR 2021 Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron Courville, Philip Bachman

We further improve performance by adding data augmentation to the future prediction loss, which forces the agent's representations to be consistent across multiple views of an observation.

Atari Games 100k Data Augmentation +4

Time2Vec: Learning a Vector Representation of Time

6 code implementations11 Jul 2019 Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus Brubaker

Time is an important feature in many applications involving events that occur synchronously and/or asynchronously.

Diachronic Embedding for Temporal Knowledge Graph Completion

1 code implementation6 Jul 2019 Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart

In this paper, we build novel models for temporal KG completion through equipping static models with a diachronic entity embedding function which provides the characteristics of entities at any point in time.

Knowledge Graph Completion Temporal Knowledge Graph Completion

Representation Learning for Dynamic Graphs: A Survey

no code implementations27 May 2019 Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart

Graphs arise naturally in many real-world applications including social networks, recommender systems, ontologies, biology, and computational finance.

Knowledge Graphs Recommendation Systems +1

Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning

no code implementations16 May 2018 Wanjia Liu, Huaijin Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit Patel

Good temporal representations are crucial for video understanding, and the state-of-the-art video recognition framework is based on two-stream networks.

Action Recognition Atari Games +6

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