Aravind Srinivas
13 papers · 2018–2021 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (34) 🧭 Keyword Pioneer
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(74)
Venues
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(10)
Learning Types · Deep Learning
(8)
Reinforcement Learning
(6)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Methods
(5)
Computer Vision
(4)
Analysis
(4)
Application Areas
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Optimization & Theory
(3)
Robotics
(1)
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
Bottleneck Transformers for Visual Recognition
CVPR 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
NeurIPS 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
NeurIPS 2021
Reinforcement Learning with Latent Flow
NeurIPS 2021
Revisiting ResNets: Improved Training and Scaling Strategies
NeurIPS 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
CVPR 2021
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
CVPR 2021
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
ICML 2021
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
ICML 2020
Reinforcement Learning with Augmented Data
NeurIPS 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