← Authors

Ambedkar Dukkipati

22 papers · 2014–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (59) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (122) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (6) ❓ 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

Parag Dutta (5) Shubham Gupta (5) Debarghya Ghoshdastidar (4) Tony Gracious (4) Gaurav Pandey (3) Somnath Basu Roy Chowdhury (2) Ranga Shaarad Ayyagari (1) Shalabh Bhatnagar (1) Ajay P. Adsul (1) Rahul Venkataramani (1)

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