sites.google.com
CVRL
3 min read · Apr 18th · Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee National University of Singapore
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rubenwiersma.nl
CNNs on Surfaces using Rotation-Equivariant Features
3 min read · Feb 13th · Ruben Wiersma, Elmar Eisemann, and Klaus Hildebrandt Delft University of Technology Code + datasets Presentation Paper PDF Cite Abstract This paper is concerned with a fundamental problem in geometric…
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AI Papers
Deep End-to-end Causal Inference
1 min read · Feb 7th · Causal inference is essential for data-driven decision making across domains such as business engagement, medical treatment or policy making. However, research on causal discovery and inference has…
Shared by 19, including Oleg Baskov, Matt Shaffer, AIKing.Eth - Vincent Boucher
sites.google.com
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
9 min read · 2021-11-08 · Thomas Weng, Sujay Bajracharya, Yufei Wang, Khush Agrawal, David Held Robotics Institute, Carnegie Mellon University, Pittsburgh, PA [Paper on OpenReview] This work as has been accepted at CoRL 2021.
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AI Papers
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
1 min read · 2021-05-12 · Recent self-supervised methods for image representation learning are based on maximizing the agreement between embedding vectors from different views of the same image. A trivial solution is obtained…
Shared by 7, including Matt Shaffer, Yann LeCun
drinkingcoder.github.io
LIFE: Lighting Invariant Flow Estimation
1 min read · 2021-06-24 · We tackle the problem of estimating flow between two images with large lighting variations. Recent learning-based flow estimation frameworks have shown remarkable performance on image pairs with small…
Shared by 5, including Matt Shaffer
openreview.net
Disagreement-Regularized Imitation Learning
2021-06-02 · Method for addressing covariate shift in imitation learning using ensemble uncertainty
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sites.google.com
Home
4 min read · 2021-06-02 · Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen*, Kevin Lu*, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas*, Igor Mordatch*…
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AI Papers
Asymmetric self-play for automatic goal discovery in robotic manipulation
1 min read · 2021-05-03 · We train a single, goal-conditioned policy that can solve many robotic manipulation tasks, including tasks with previously unseen goals and objects. We rely on asymmetric self-play for goal discovery,…
Shared by 6, including Matt Shaffer
robotics-self-play.github.io
Robotics Asymmetric Self-Play
1 min read · 2021-05-03 · We use asymmetric self-play to train a goal-conditioned policy for complex object manipulation tasks, and the learned policy can zero-shot generalize to many manually designed holdout tasks.
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AI Papers
Universal Off-Policy Evaluation
1 min read · 2021-05-01 · When faced with sequential decision-making problems, it is often useful to be able to predict what would happen if decisions were made using a new policy. Those predictions must often be based on data…
Shared by 8, including AIKing.Eth - Vincent Boucher, Matt Shaffer
AI Papers
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
1 min read · 2021-04-22 · The feature correlation layer serves as a key neural network module in numerous computer vision problems that involve dense correspondences between image pairs. It predicts a correspondence volume by…
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sites.google.com
Deep RLSP
2 min read · 2021-04-17 · Learning What To Do by Simulating the Past
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monkeyoverflow.com
Thu Nguyen-Phuoc
From 2019 · Personal website for Thu Nguyen-Phuoc, Ph.D. Student in Visual Computing at the Centre for Digital Entertainment, University of Bath.
Shared by 9, including Alex Kipman, Matt Shaffer
AI Papers
DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency
1 min read · 2021-03-14 · Category-level 6D object pose and size estimation is to predict 9 degrees-of-freedom (9DoF) pose configurations of rotation, translation, and size for object instances observed in single, arbitrary…
Shared by 4, including Matt Shaffer
