Search Results for author: Neil Band

Found 6 papers, 4 papers with code

Linguistic Calibration of Language Models

no code implementations30 Mar 2024 Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto

Our results demonstrate that long-form generations may be calibrated end-to-end by constructing an objective in the space of the predictions that users make in downstream decision-making.

Decision Making Question Answering

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

3 code implementations15 Jul 2021 Andrey Malinin, Neil Band, Ganshin, Alexander, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Roginskiy, Denis, Mariya Shmatova, Panos Tigas, Boris Yangel

However, many tasks of practical interest have different modalities, such as tabular data, audio, text, or sensor data, which offer significant challenges involving regression and discrete or continuous structured prediction.

Image Classification Machine Translation +5

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

3 code implementations NeurIPS 2021 Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Tom Rainforth, Yarin Gal

We challenge a common assumption underlying most supervised deep learning: that a model makes a prediction depending only on its parameters and the features of a single input.

3D Part Segmentation

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