Prem Seetharaman
Signal Processing · 2018–2023
A researcher in the Science corpus: 7 papers; trusts 179 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Signal Processing — 112 citations into it; #7,127 of 7,572 by trust here, #2,184 by citations
- Artificial Intelligence — 73 citations into it
- Computer Vision and Pattern Recognition — 69 citations into it; #20,235 of 21,575 by trust here, #13,542 by citations
- Speech & Audio — 50 citations into it
- Generative Models — 44 citations into it
- Multimodal Learning — 18 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
Whom Prem Seetharaman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- John R. Hershey
- Aäron van den Oord
- Jonathan Le Roux
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Oriol Vinyals
Who trusts Prem Seetharaman overall
Papers from Prem Seetharaman's perspective
Ordered by how strongly the researchers Prem Seetharaman 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- High-Fidelity Audio Compression with Improved RVQGAN (2023) — 803 citations
- Chunked Autoregressive GAN for Conditional Waveform Synthesis (2021) — 96 citations
- Wav2CLIP: Learning Robust Audio Representations from Clip (2021) — 369 citations
- What’s all the Fuss about Free Universal Sound Separation Data? (2020) — 96 citations
- Improving Sound Event Detection in Domestic Environments using Sound Separation (2020) — 54 citations
- VocalSet: A Singing Voice Dataset (2018) — 123 citations
- Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures (2018) — 39 citations