Ambedkar Dukkipati
22 papers · 2014–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (11)
πΊοΈ
Taxonomy Completionist
(59)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π¬
Deep Specialist
(10)
ποΈ
Keyword Collector
(122)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(22)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
AAAI (6)
ICML (4)
ICCV (2)
NAACL (2)
NIPS (2)
ACML (1)
AISTATS (1)
CVPR (1)
EMNLP (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
representation learning
(6)
temporal point process
(4)
spectral clustering
(4)
link prediction
(3)
dynamic network
(3)
hypergraph partitioning
(2)
interaction forecasting
(2)
attention mechanism
(2)
kernel methods
(2)
tensor method
(2)
neural network
(2)
tensor decomposition
(2)
active learning
(2)
transfer learning
(2)
text classification
(2)
hyperedge prediction
(2)
domain generalization
(1)
sequential decision-making
(1)
offline reinforcement learning
(1)
sample efficiency
(1)
Papers
One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators
ICCV 2025
Semi-supervised Deep Transfer for Regression without Domain Alignment
ICCV 2025
Active Reinforcement Learning Strategies for Offline Policy Improvement
AAAI 2025
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
AAAI 2025
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
AAAI 2025
Causal Feature Alignment: Learning To Ignore Spurious Background Features
WACV 2024
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
ACML 2023
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
AAAI 2023
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
NIPS 2022
Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
NAACL 2021
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
AAAI 2021
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing
EMNLP 2019
A Generative Model for Dynamic Networks with Applications
AAAI 2019
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing
NAACL 2018
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
JMLR 2017
Attentive Recurrent Comparators
ICML 2017
On collapsed representation of hierarchical Completely Random Measures
ICML 2016
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning
ICML 2015
To go deep or wide in learning?
AISTATS 2014
Learning by Stretching Deep Networks
ICML 2014
Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions
CVPR 2014
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
NIPS 2014