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Ehsan Amid

Identifiers

  • name variant Ehsan Amid 0.60 · backfill

Papers (40)

  1. DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and its Loss' Convexity is Dispensable) cs.LG · 2025 · author #5
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #362
  3. Restructuring Vector Quantization with the Rotation Trick cs.LG · 2024 · author #6
  4. Learning from straggler clients in federated learning cs.LG · 2024 · author #3
  5. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context cs.CL · 2024 · author #103
  6. Tempered Calculus for ML: Application to Hyperbolic Model Embedding cs.LG · 2024 · author #2
  7. Gemini: A Family of Highly Capable Multimodal Models cs.CL · 2023 · author #965
  8. The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs cs.LG · 2023 · author #1
  9. Context-Aware Meta-Learning cs.LG · 2023 · author #4
  10. Heterogeneous Federated Learning Using Knowledge Codistillation cs.LG · 2023 · author #2
  11. Distributionally Robust Post-hoc Classifiers under Prior Shifts cs.LG · 2023 · author #3
  12. Optimal Transport with Tempered Exponential Measures cs.LG · 2023 · author #1
  13. Benchmarking Neural Network Training Algorithms cs.LG · 2023 · author #19
  14. Boosting with Tempered Exponential Measures cs.LG · 2023 · author #2
  15. Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction cs.LG · 2023 · author #3
  16. Clustering above Exponential Families with Tempered Exponential Measures cs.LG · 2022 · author #1
  17. Layerwise Bregman Representation Learning with Applications to Knowledge Distillation cs.LG · 2022 · author #1
  18. To Aggregate or Not? Learning with Separate Noisy Labels cs.LG · 2022 · author #4
  19. Extracting Targeted Training Data from ASR Models, and How to Mitigate It cs.SD · 2022 · author #1
  20. Learning from Randomly Initialized Neural Network Features cs.LG · 2022 · author #1
  21. Step-size Adaptation Using Exponentiated Gradient Updates cs.LG · 2022 · author #1
  22. Public Data-Assisted Mirror Descent for Private Model Training cs.LG · 2021 · author #1
  23. Constrained Instance and Class Reweighting for Robust Learning under Label Noise cs.LG · 2021 · author #2
  24. Efficiently Identifying Task Groupings for Multi-Task Learning cs.LG · 2021 · author #2
  25. LocoProp: Enhancing BackProp via Local Loss Optimization cs.LG · 2021 · author #1
  26. Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond cs.LG · 2021 · author #2
  27. Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments cs.IT · 2021 · author #2
  28. Rank-smoothed Pairwise Learning In Perceptual Quality Assessment cs.CV · 2020 · author #2
  29. Measuring and Harnessing Transference in Multi-Task Learning cs.LG · 2020 · author #2
  30. A case where a spindly two-layer linear network whips any neural network with a fully connected input layer cs.LG · 2020 · author #3
  31. Reparameterizing Mirror Descent as Gradient Descent cs.LG · 2020 · author #1
  32. TriMap: Large-scale Dimensionality Reduction Using Triplets cs.LG · 2019 · author #1
  33. An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint cs.LG · 2019 · author #1
  34. Robust Bi-Tempered Logistic Loss Based on Bregman Divergences cs.LG · 2019 · author #1
  35. Divergence-Based Motivation for Online EM and Combining Hidden Variable Models cs.LG · 2019 · author #1
  36. A more globally accurate dimensionality reduction method using triplets cs.LG · 2018 · author #1
  37. Two-temperature logistic regression based on the Tsallis divergence cs.LG · 2017 · author #1
  38. Semi-supervised Kernel Metric Learning Using Relative Comparisons cs.LG · 2016 · author #1
  39. Low-dimensional Data Embedding via Robust Ranking cs.AI · 2016 · author #1
  40. Optimizing the Information Retrieval Trade-off in Data Visualization Using $\alpha$-Divergence cs.IR · 2015 · author #1

Mentions

  • 2306.07179 #19 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2410.06424 #6 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2402.04163 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2310.10971 #4 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2403.09086 #3 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2309.04015 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2311.13459 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2302.02055 #3 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2310.02549 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2309.08825 #3 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2306.05487 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2211.02765 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2206.07181 #4 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2209.07080 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2204.08345 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2112.00193 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1910.00204 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2106.06199 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2202.06438 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2202.00145 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2111.05428 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2109.04617 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2010.15413 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2102.10639 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2104.01493 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2011.10893 #2 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2010.08625 #3 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2002.10487 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1902.04107 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1906.03361 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1909.04803 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1705.07210 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1803.00854 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1611.09957 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1612.00086 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1505.05821 #1 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 2507.07855 #5 · arxiv_oai · confidence 0.70 Ehsan Amid
  • 1505.05821 #1 · backfill · confidence 0.70 Ehsan Amid

Frequent Coauthors