Arkanath Pathak

2017–2019

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Arkanath Pathak's perspective

Ordered by how strongly the researchers Arkanath Pathak trusts endorse each paper. Same corpus, a different order for every researcher.

1. Unsupervised Learning for Physical Interaction through Video Prediction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
9. Deep learning for detecting robotic grasps
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Grasping Interaction with Geometry-aware 3D Representations (2017) — 8 citations
• High Fidelity Video Prediction with Large Neural Nets (2019) — 3 citations