Zalán Borsos
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 11 papers; trusts 206 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 246 citations into it; #13,291 of 35,345 by trust here, #4,119 by citations
- Signal Processing — 136 citations into it
- Speech & Audio — 130 citations into it; #785 of 1,076 by trust here, #187 by citations
- Computer Vision and Pattern Recognition — 127 citations into it
- Natural Language Processing — 51 citations into it
- Representation & Self-Supervised Learning — 40 citations into it
- Model Architectures — 39 citations into it
- Evaluation & Benchmarks — 34 citations into it
Whom Zalán Borsos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Jimmy Ba
- Ilya Sutskever
- Yann LeCun
- Alex Graves
- Oriol Vinyals
Who trusts Zalán Borsos overall
- Timothy Nguyen
- Dongchao Yang
- Zhijun Liu
- Matt Le
- Rongjie Huang
- Xu Tan
- Apoorv Vyas
- Zeqian Ju
- Pengfei Yu
- Lucas Caccia
Papers from Zalán Borsos's perspective
Ordered by how strongly the researchers Zalán Borsos trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- AudioLM: A Language Modeling Approach to Audio Generation (2022) — 990 citations
- MusicLM: Generating Music From Text (2023) — 722 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
- SoundStorm: Efficient Parallel Audio Generation (2023) — 162 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- LMCodec: A Low Bitrate Speech Codec with Causal Transformer Models (2023) — 31 citations
- TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition (2023) — 18 citations
- SpeechPainter: Text-conditioned Speech Inpainting (2022) — 36 citations
- Disentangling speech from surroundings in a neural audio codec (2022) — 7 citations
- Coresets via Bilevel Optimization for Continual Learning and Streaming (2020) — 307 citations