Karthik Gopalakrishnan
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 10 papers; trusts 129 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 220 citations into it
- Natural Language Processing — 213 citations into it; #5,173 of 5,688 by trust here, #2,082 by citations
- Computer Vision and Pattern Recognition — 58 citations into it
- Evaluation & Benchmarks — 53 citations into it
- Large Language Models — 32 citations into it
- Knowledge Graphs & Representation — 20 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Karthik Gopalakrishnan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Yoshua Bengio
- Oriol Vinyals
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Quoc V. Le
- Yann LeCun
- Jason Aaron Edward Weston
Who trusts Karthik Gopalakrishnan overall
- Shikib Mehri
- Pei Zhou
- Kurt Shuster
- Mojtaba Komeili
- Maxine Eskénazi
- Yang Liu
- Sarik Ghazarian
- Mingkai Deng
- Or Honovich
- Behnam Hedayatnia
Papers from Karthik Gopalakrishnan's perspective
Ordered by how strongly the researchers Karthik Gopalakrishnan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018) — 87 citations
- Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks (2020) — 41 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Commonsense-Focused Dialogues for Response Generation: An Empirical Study (2021) — 50 citations
- Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation (2021) — 45 citations
- Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation (2021) — 10 citations
- Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems (2020) — 26 citations
- Further Advances in Open Domain Dialog Systems in the Third Alexa Prize Socialbot Grand Challenge (2020)
- Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations (2019) — 367 citations