Contrastive Adapters for Foundation Model Group Robustness

von Zhang, Michael
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 28 of 50 (2023)

Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data

von Thomas, Armin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 28 of 50 (2023)

MACHINE LEARNING AND DEEP ANALYTICS FOR BIOCOMPUTING: CALL FOR BETTER EXPLAINABILITY

von Petkovic, Dragutin
Veröffentlicht in Pacific Symposium on Biocomputing (23. : 2018 : Kohala, Hawaii) Pacific Symposium on Biocomputing 2018 (2021)

ON THE DOWNSTREAM PERFORMANCE OF COMPRESSED WORD EMBEDDINGS

von May, Avner
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Probabilistic databases

Veröffentlicht 2011

On the Parameterization and Initialization of Diagonal State Space Models

von Gu, Albert
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)

HYPERBOLIC GRAPH CONVOLUTIONAL NEURAL NETWORKS

von Chami, Ines
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

FROM TREES TO CONTINUOUS EMBEDDINGS AND BACK: HYPERBOLIC HIERARCHICAL CLUSTERIN

von Chami, Ines
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins

von Suri, Sahaana
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 2 of 6 (2023)

HOROPCA: HYPERBOLIC DIMENSIONALITY REDUCTION VIA HOROSPHERICAL PROJECTIONS

von CHAMI, INES
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

von Dao, Tri
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

HIPPO: RECURRENT MEMORY WITH OPTIMAL POLYNOMIAL PROJECTIONS

von Gu, Albert
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

NO SUBCLASS LEFT BEHIND: FINE-GRAINED ROBUSTNESS IN COARSE-GRAINED CLASSIFICATION PROBLEMS

von Sohoni, Nimit
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

Using social media to measure labor market flows

Veröffentlicht 2014

Scatterbrain: Unifying Sparse and Low-rank Attention

von Chen, Beidi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 21 of 36 (2022)

Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations

von Zhang, Michael
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 32 of 33 (2023)

Rethinking Neural Operations for Diverse Tasks

von Roberts, Nicholas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

MANDOLINE: MODEL EVALUATION UNDER DISTRIBUTION SHIFT

von CHEN, MAYEE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers

von Gu, Albert
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 1 of 36 (2022)

Transform Once: Efficient Operator Learning in Frequency Domain

von Poli, Michael
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)