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Machine Learning Podcasts

  • Video: Lex Fridman – Turing Test: Can Machines Think?
  • Video: Lex Fridman – Exponential Progress of AI: Moore’s Law, Bitter Lesson, and the Future of Computation
  • Video: Lex Fridman – Language or Vision – What’s Harder? (Ilya Sutskever) | AI Podcast Clips
  • Video: Lex Fridman – How to Build AGI? (Ilya Sutskever) | AI Podcast Clips
  • Video: Lex Fridman – AI Simulating Humans to Understand Itself (Joscha Bach) | AI Podcast Clips
  • Video: Lex Fridman – Neural networks learning spirals
  • Video: Lex Fridman – GPT-3 vs Human Brain
  • Video: Dileep George: Brain-Inspired AI | Lex Fridman Podcast #115
  • Video: Eugenia Kuyda: Friendship with an AI Companion | Lex Fridman Podcast #121
  • Video: Comma.ai Drive and Tour with George Hotz and Lex Fridman
  • Video: Max Tegmark: AI and Physics | Lex Fridman Podcast #155
  • Video: Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162
  • Video: Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
  • Video: Richard Feynman (Lex Fridman) – Can Machines Think?
  • Video: Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11

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RSS arxiv.org Computer Science – ML RSS Feed

  • Weakly-Supervised Questions for Zero-Shot Relation Extraction. (arXiv:2301.09640v1 [cs.CL])
  • Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. (arXiv:2202.05255v3 [cond-mat.mtrl-sci] UPDATED)
  • Robustness through Data Augmentation Loss Consistency. (arXiv:2110.11205v3 [cs.LG] UPDATED)
  • Neyman-Pearson Multi-class Classification via Cost-sensitive Learning. (arXiv:2111.04597v2 [stat.ML] UPDATED)
  • On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks. (arXiv:2111.07911v3 [cs.LG] UPDATED)

RSS arxiv.org Statistics – ML RSS Feed

  • Flexible conditional density estimation for time series. (arXiv:2301.09671v1 [stat.ME])
  • A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. (arXiv:2009.01797v3 [cs.LG] UPDATED)
  • Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation. (arXiv:2211.08327v3 [cs.IT] UPDATED)
  • Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. (arXiv:2209.04480v3 [stat.AP] UPDATED)
  • Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach. (arXiv:2207.01234v2 [cs.LG] UPDATED)

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