Aravind Srinivas
13 papers · 2018–2021 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(3)
🗃️
Keyword Collector
(74)
📈
Trend Setter
💎
Century Club
(13)
⚡
Prolific Year
(9)
Conferences
NIPS (5)
CVPR (4)
ICML (4)
Top co-authors
Keywords
reinforcement learning
(4)
representation learning
(3)
instance segmentation
(3)
image classification
(3)
off-policy learning
(3)
data augmentation
(3)
transfer learning
(2)
semi-supervised learning
(2)
pixel-based learning
(2)
deep reinforcement learning
(2)
autoregressive model
(2)
convolutional neural network
(2)
object detection
(2)
domain generalization
(1)
contrastive learning
(1)
imitation learning
(1)
image generation
(1)
transformer architecture
(1)
offline reinforcement learning
(1)
density estimation
(1)
Papers
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
ICML 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
NIPS 2021
Reinforcement Learning with Latent Flow
NIPS 2021
Revisiting ResNets: Improved Training and Scaling Strategies
NIPS 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
NIPS 2021
Bottleneck Transformers for Visual Recognition
CVPR 2021
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
CVPR 2021
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
CVPR 2021
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
ICML 2020
Reinforcement Learning with Augmented Data
NIPS 2020
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
ICML 2019
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control
ICML 2018