Content

• Papers
  • Audio
    • Text-To-Speech-(TTS)
    • Music
  • Computer Vision
  • Natural Language Processing
  • Optimization
  • Representation Learning
  • Neural Network Dynamics
  • Artificial General Intelligence

Papers

Audio

Text-To-Speech (TTS)

• Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech(2021)
• Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning (ICASSP 2022)
• One TTS Alignment To Rule Them All (ICASSP 2022)
• RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis (2021)

Music

• CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis (2022)

Representation Learning

• CLAP: Learning Audio Concepts From Natural Language Supervision (2022)
• Towards Learning Universal Aaudio Representations (ICASSP 2022)

Computer Vision

Natural Language Processing (NLP)

• Language Modeling via Stochastic Processes (ICLR 2022)

Optimization

• Exploring the Limits of Large Scale Pre-training(2021)
• Deep Learning Scaling is Predictable, Empirically (2017)

Representation Learning

• On the duality between contrastive and non-contrastive self-supervised learning(2022)
• Learning Transferable Visual Models From Natural Language Supervision (2021) [repo]
• Representation Learning with Contrastive Predictive Coding (2018)
• Learning Representations by Maximizing Mutual Information Across Views (2019)
• SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization (ICML 2022)
• Towards a General Purpose CNN for Long Range Dependencies in ND (ICML 2022)

Neural Network Dynamics

• Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path (ICLR 2022)

Aritificial General Intelligence

• Perceiver IO: A General Architecture for Structured Inputs & Outputs (ICLR 2022)