Evgeny Kharitonov
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 16 papers; trusts 178 researchers and is trusted by 48 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 524 citations into it; #4,470 of 35,345 by trust here, #2,017 by citations
- Signal Processing — 251 citations into it; #1,528 of 7,572 by trust here, #324 by citations
- Speech & Audio — 233 citations into it; #200 of 1,076 by trust here, #68 by citations
- Natural Language Processing — 154 citations into it; #5,130 of 5,688 by trust here, #1,525 by citations
- Computer Vision and Pattern Recognition — 137 citations into it; #21,359 of 21,575 by trust here, #9,079 by citations
- Representation & Self-Supervised Learning — 123 citations into it; #2,003 of 3,145 by trust here, #1,301 by citations
- Evaluation & Benchmarks — 84 citations into it
- Large Language Models — 67 citations into it
Whom Evgeny Kharitonov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Aäron van den Oord
- Morgane Rivière
- Oriol Vinyals
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Kaiming He
Who trusts Evgeny Kharitonov overall
- Tu Nguyen
- Jade Copet
- Zalán Borsos
- Wei-Ning Hsu
- Felix Kreuk
- Dong Zhang
- Matt Le
- Ann Lee
- Morgane Rivière
- Alexandre D'efossez
Papers from Evgeny Kharitonov's perspective
Ordered by how strongly the researchers Evgeny Kharitonov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Libri-Light: A Benchmark for ASR with Limited or No Supervision (2019) — 820 citations
- On Generative Spoken Language Modeling from Raw Audio (2021) — 483 citations
- AudioLM: A Language Modeling Approach to Audio Generation (2022) — 990 citations
- Compositionality and Generalization In Emergent Languages (2020) — 171 citations
- Speech Resynthesis from Discrete Disentangled Self-Supervised Representations (2021) — 398 citations
- Text-Free Prosody-Aware Generative Spoken Language Modeling (2021) — 159 citations
- Data Augmenting Contrastive Learning of Speech Representations in the Time Domain (2020) — 129 citations
- Generative Spoken Dialogue Language Modeling (2022) — 155 citations
- textless-lib: a Library for Textless Spoken Language Processing (2022) — 41 citations
- AudioPaLM: A Large Language Model That Can Speak and Listen (2023) — 486 citations
- Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision (2023) — 291 citations
- The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling (2020) — 135 citations
- SoundStorm: Efficient Parallel Audio Generation (2023) — 162 citations
- Gemma 3 Technical Report (2025) — 1,621 citations
- The Zero Resource Speech Challenge 2021: Spoken Language Modelling (2021) — 68 citations
- Textless Speech Emotion Conversion using Decomposed and Discrete Representations (2021) — 42 citations