Arindam Mandal
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it
- Natural Language Processing — 80 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Arindam Mandal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Arindam Mandal's perspective
Ordered by how strongly the researchers Arindam Mandal trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Latent Dirichlet Allocation
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
- Hybrid speech recognition with Deep Bidirectional LSTM
- A Diversity-Promoting Objective Function for Neural Conversation Models
- Probabilistic Latent Semantic Analysis
- Audio augmentation for speech recognition
Their papers
- Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018) — 87 citations
- Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision (2018) — 33 citations
- Further Advances in Open Domain Dialog Systems in the Third Alexa Prize Socialbot Grand Challenge (2020)
- Data Augmentation for Robust Keyword Spotting under Playback Interference (2018) — 38 citations
- Contextual Topic Modeling For Dialog Systems (2018) — 26 citations