Nitish Srivastava
10 papers · 2012–2021 · 6 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 ↓+5 more ↓ Show less ↑
π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (30) π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(8)
Computer Vision
(6)
Machine Learning
(5)
Artificial Intelligence
(4)
Analysis
(4)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Techniques
(3)
Core AI
(2)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
generative model
(4)
representation learning
(3)
deep neural network
(2)
information retrieval
(2)
multimodal learning
(2)
deep boltzmann machine
(2)
unsupervised learning
(2)
action recognition
(1)
uncertainty quantification
(1)
offline reinforcement learning
(1)
hierarchical classification
(1)
knowledge transfer
(1)
transfer learning
(1)
few-shot learning
(1)
posterior inference
(1)
variational inference
(1)
neural rendering
(1)
visual attention
(1)
hamiltonian monte carlo
(1)
face recognition
(1)
Papers
On the Generalization of Learning-Based 3D Reconstruction
WACV 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
ICML 2021
Unconstrained Scene Generation With Locally Conditioned Radiance Fields
ICCV 2021
Capsules with Inverted Dot-Product Attention Routing
ICLR 2020
Unsupervised Learning of Video Representations using LSTMs
ICML 2015
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
JMLR 2014
Learning Generative Models with Visual Attention
NeurIPS 2014
Multimodal Learning with Deep Boltzmann Machines
JMLR 2014
Discriminative Transfer Learning with Tree-based Priors
NeurIPS 2013
Multimodal Learning with Deep Boltzmann Machines
NeurIPS 2012