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Publication search results
found 57 matches
- 2024
- Ankur Sinha, Tanmay Khandait, Raja Mohanty:
A gradient-based bilevel optimization approach for tuning regularization hyperparameters. Optim. Lett. 18(6): 1383-1404 (2024) - Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor:
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. AAMAS 2024: 2333-2335 - Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha:
Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning. ITCS 2024: 25:1-25:19 - Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor:
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. CoRR abs/2401.02991 (2024) - 2023
- Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal:
Design and development of electronic stethoscope for early screening of valvular heart disease prediction. Biomed. Signal Process. Control. 86(Part A): 105086 (2023) - Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal:
Design of ear-contactless stethoscope and improvement in the performance of deep learning based on CNN to classify the heart sound. Medical Biol. Eng. Comput. 61(9): 2417-2439 (2023) - Chaitanya Kharyal, Tanmay Kumar Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das, Matthew E. Taylor:
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning. AAMAS 2023: 2457-2459 - Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
Generalized Structured Low-Rank Tensor Learning. COMAD/CODS 2023: 79-86 - Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. EACL 2023: 2349-2364 - Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) 2023: 5602-5621 - Bansari Deb Majumder, Joy Halder, Sanmitra Biswas, Joyanta Kumar Roy, Tanmay Sinha Roy:
Development of Autonomous Robot To Perform Multiple Tasks in Agricultural Fields. ICST 2023: 1-6 - Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal, Subhas Chandra Mukhopadhaya, Bansari Deb Majumder, Soumen Ghosh:
Valvular Heart Disease Prediction Using CNN-based Residual Network. ICST 2023: 1-6 - Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. CoRR abs/2301.09919 (2023) - Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
Structured Low-Rank Tensor Learning. CoRR abs/2305.07967 (2023) - Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar:
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. CoRR abs/2305.07976 (2023) - Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR abs/2305.14536 (2023) - Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha:
Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning. CoRR abs/2311.07284 (2023) - Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha:
Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning. Electron. Colloquium Comput. Complex. TR23 (2023) - 2022
- Tanmay Sinha, Sunidhi Dhandhania:
Democratizing Emotion Research in Learning Sciences. AIED (2) 2022: 156-162 - Tanmay Sinha, Shivam Malhotra:
Embodied Agents to Scaffold Data Science Education. AIED (2) 2022: 150-155 - Samuel Tobler, Tanmay Sinha, Katja Köhler, Ernst Hafen, Manu Kapur:
The Impact of Prior Knowledge in Narrative-Based Learning on Understanding Biological Concepts in Higher Education. CogSci 2022 - Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
A Riemannian Approach to Extreme Classification Problems. COMAD/CODS 2022: 54-62 - Sverrir Thorgeirsson, Tanmay Sinha, Felix Friedrich, Zhendong Su:
Does Deliberately Failing Improve Learning in Introductory Computer Science? EC-TEL 2022: 608-614 - Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan:
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. EMNLP 2022: 4136-4149 - Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar:
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. WACV 2022: 4069-4077 - Tanmay Sinha, Zhen Bai, Justine Cassell:
A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning. CoRR abs/2204.00545 (2022) - Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan:
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. CoRR abs/2211.12835 (2022) - 2021
- Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems. CoRR abs/2109.15021 (2021) - 2020
- Dragan Trninic, Manu Kapur, Tanmay Sinha:
The Disappearing "Advantage of Abstract Examples in Learning Math". Cogn. Sci. 44(7) (2020) - Ankur Sinha, Tanmay Khandait, Raja Mohanty:
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning. CoRR abs/2007.11022 (2020)
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