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Richard Zemel

Identifiers

  • name variant Richard Zemel 0.60 · backfill

Papers (32)

  1. Re-Evaluating Continual Learning with Few-Shot Adaptation cs.LG · 2026 · author #4
  2. Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation cs.LG · 2026 · author #3
  3. Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning cs.LG · 2026 · author #4
  4. Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions cs.LG · 2026 · author #5
  5. Schemex: Discovering Structural Abstractions from Examples cs.HC · 2025 · author #5
  6. Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models cs.LG · 2019 · author #11
  7. Flexibly Fair Representation Learning by Disentanglement cs.LG · 2019 · author #7
  8. High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks cs.CV · 2019 · author #2
  9. Learning Latent Subspaces in Variational Autoencoders cs.LG · 2018 · author #3
  10. Understanding the Origins of Bias in Word Embeddings cs.LG · 2018 · author #4
  11. Neural Guided Constraint Logic Programming for Program Synthesis cs.LG · 2018 · author #8
  12. Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data cs.LG · 2018 · author #4
  13. The Elephant in the Room cs.CV · 2018 · author #2
  14. Adversarial Distillation of Bayesian Neural Network Posteriors cs.LG · 2018 · author #6
  15. Aggregated Momentum: Stability Through Passive Damping cs.LG · 2018 · author #3
  16. Inference in Probabilistic Graphical Models by Graph Neural Networks cs.LG · 2018 · author #7
  17. Graph Partition Neural Networks for Semi-Supervised Classification cs.LG · 2018 · author #6
  18. Learning Adversarially Fair and Transferable Representations cs.LG · 2018 · author #4
  19. Neural Relational Inference for Interacting Systems stat.ML · 2018 · author #5
  20. Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer stat.ML · 2017 · author #3
  21. Few-Shot Learning Through an Information Retrieval Lens cs.LG · 2017 · author #2
  22. Dualing GANs cs.LG · 2017 · author #4
  23. Causal Effect Inference with Deep Latent-Variable Models stat.ML · 2017 · author #5
  24. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks cs.CV · 2017 · author #4
  25. Gated Graph Sequence Neural Networks cs.LG · 2015 · author #4
  26. The Variational Fair Autoencoder stat.ML · 2015 · author #5
  27. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books cs.CV · 2015 · author #3
  28. Exploring Models and Data for Image Question Answering cs.LG · 2015 · author #3
  29. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention cs.LG · 2015 · author #7
  30. Generative Moment Matching Networks cs.LG · 2015 · author #3
  31. Learning unbiased features cs.LG · 2014 · author #3
  32. Mean-Field Networks cs.LG · 2014 · author #2

Mentions

  • 2603.13761 #4 · arxiv_oai · confidence 0.70 Richard Zemel
  • 1506.06724 #3 · backfill · confidence 0.70 Richard Zemel
  • 1505.02074 #3 · backfill · confidence 0.70 Richard Zemel
  • 2606.03843 #4 · arxiv_oai · confidence 0.70 Richard Zemel
  • 2602.14279 #5 · arxiv_oai · confidence 0.70 Richard Zemel
  • 1502.03044 #7 · backfill · confidence 0.70 Richard Zemel
  • 1502.02761 #3 · backfill · confidence 0.70 Richard Zemel
  • 1412.5244 #3 · backfill · confidence 0.70 Richard Zemel
  • 1410.5884 #2 · backfill · confidence 0.70 Richard Zemel

Frequent Coauthors