Niranjan Pedanekar

44 papers A* 1A 4B 2C 2Misc 2Journal 12Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Demystifying chatgpt: How it masters genre recognition. Nat. Lang. Process. J. Subham Raj, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar
2026	J	`jnl`	Fine-Grained Visual Aspects in Genre Prediction. IEEE Trans. Comput. Soc. Syst. Prabir Mondal, Kushum, Tejal Kumari, Sriparna Saha, Jyoti Prakash Singh, Prosenjit Biswas, Brijraj Singh, Niranjan Pedanekar
2026	—	`conf`	From What to Why: Thought-Space Recommendation with Small Language Models. ECIR (1) Prosenjit Biswas, Pervez Shaik, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar
2026	J	`jnl`	PlotTwist: A Creative Plot Generation Framework with Small Language Models. CoRR Abhinav Thorat, Ravi Kolla, Jyotin Goel, Niranjan Pedanekar
2025	J	`jnl`	Demystifying ChatGPT: How It Masters Genre Recognition. CoRR Subham Raj, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar
2025	A	`conf`	Dynamic Task-Adaptive Meta Optimization for Cold-Start Recommendation. ECAI Tushar Prakash, Raksha Jalan, Brijraj Singh, Niranjan Pedanekar
2025	J	`jnl`	From What to Why: Thought-Space Recommendation with Small Language Models. CoRR Prosenjit Biswas, Pervez Shaik, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar
2025	—	`conf`	KANITE: Kolmogorov-Arnold Networks for ITE Estimation. ECML/PKDD (1) Eshan Mehendale, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar
2025	J	`jnl`	KANITE: Kolmogorov-Arnold Networks for ITE estimation. CoRR Eshan Mehendale, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar
2025	A	`conf`	Large Language Model-based Recommendation System Agents. RecSys Tommaso Carraro, Brijraj Singh, Niranjan Pedanekar
2025	J	`jnl`	Multimodal Movie Recommendation With Multitasking Architecture and Learning User-Movie Representation: An Empirical Study. IEEE Trans. Comput. Soc. Syst. Subham Raj, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar
2025	A*	`conf`	Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience. AAAI Brijraj Singh, Sonal Dabral, Niranjan Pedanekar
2024	—	`conf`	Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis. WWW (Companion Volume) Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar
2024	J	`jnl`	I See, Therefore I Do: Estimating Causal Effects for Image Treatments. CoRR Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar
2024	Misc	`conf`	Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges. SAC Subham Raj, Pawan Agrawal, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar
2024	J	`jnl`	Transformative Movie Discovery: Large Language Models for Recommendation and Genre Prediction. IEEE Access Subham Raj, Anurag Sharma, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar
2023	—	`conf`	A Few Good Sentences: Content Selection for Abstractive Text Summarization. ECML/PKDD (4) Vivek Srivastava, Savita Bhat, Niranjan Pedanekar
2023	J	`jnl`	Estimation of individual causal effects in network setup for multiple treatments. CoRR Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar, Naoyuki Onoe
2023	Misc	`conf`	Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP Savita Bhat, Vasudeva Varma, Niranjan Pedanekar
2023	—	`conf`	It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data. APSIPA ASC Neil Kumar Shah, Vivek Srivastava, Mohit Bhardwaj, Satej Kadlay, Dharmeshkumar Agrawal, Savita Bhat, Niranjan Pedanekar
2023	J	`jnl`	MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting. CoRR Neil Kumar Shah, Vishal Tambrahalli, Saiteja Kosgi, Niranjan Pedanekar, Vineet Gandhi
2022	—	`conf`	Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). DE-FACTIFY@AAAI Bhagyashree Gaikwad, Bhargav Kurma, Manasi Patwardhan, Shirish Karande, Niranjan Pedanekar
2022	—	`conf`	Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems. NAACL-HLT Saiteja Kosgi, Sarath Sivaprasad, Niranjan Pedanekar, Anil Nelakanti, Vineet Gandhi
2022	J	`jnl`	I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. CoRR Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar
2021	—	`conf`	Color Me Good: Branding in the Coloring Style of Movie Posters. CVPR Workshops Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar
2021	—	`conf`	Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. ICCVW Bhagyashree Gaikwad, Ankita Sontakke, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande
2021	—	`conf`	What BERTs and GPTs know about your brand? Probing contextual language models for affect associations. DeeLIO@NAACL-HLT Vivek Srivastava, Stephen Pilli, Savita Bhat, Niranjan Pedanekar, Shirish Karande
2020	—	`conf`	Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs. AI4TV@MM Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Karande, Manasi Malik, Iaphi Tariang
2020	—	`conf`	Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. CVPR Workshops Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande
2019	—	`conf`	Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies. AffCon@AAAI Tanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar
2018	—	`conf`	EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling. SocialNLP@ACL Rohit Saxena, Savita Bhat, Niranjan Pedanekar
2018	—	`conf`	Multimodal Approach to Predicting Media Memorability. MediaEval Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar
2018	B	`conf`	Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. ICMR Sarath Sivaprasad, Tanmayee Joshi, Rishabh Agrawal, Niranjan Pedanekar
2017	—	`conf`	I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. CSCW Companion Rohit Saxena, Niranjan Pedanekar
2017	—	`conf`	Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. ICDM Workshops Rohit Saxena, Savita Bhat, Niranjan Pedanekar
2016	A	`conf`	Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only). SIGCSE Abhay Doke, Niranjan Pedanekar
2016	—	`conf`	Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion Varun Kumar, Niranjan Pedanekar
2015	C	`conf`	Automatically augmenting learning material with practical questions to increase its relevance. FIE Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
2015	B	`conf`	Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT Varun Kumar, Savita Bhat, Niranjan Pedanekar
2014	—	`conf`	Assessing the Need of Augmenting Video Lectures with Supporting Information. HCI (14) Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar
2014	A	`conf`	Automatically Retrieving Explanatory Analogies from Webpages. ECIR Varun Kumar, Savita Bhat, Niranjan Pedanekar
2014	C	`conf`	Which hat are you wearing today? Enabling perspectives while learning computer science. FIE Abhay Doke, Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
2013	—	`conf`	PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish S. Karande, Vijayanand Banahatti, Niranjan Pedanekar
2013	—	`conf`	TAGZILLA: Tag-Based File Storage and Retrieval. HCI (13) Vikram Nair, Vijayanand Banahatti, Niranjan Pedanekar