Adam Fisch | DeepAI

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∙ 07/11/2023

Towards Robust and Efficient Continual Language Learning

As the application space of language models continues to evolve, a natur...

0 Adam Fisch, et al. ∙

∙ 10/14/2022

Efficiently Controlling Multiple Risks with Pareto Testing

Machine learning applications frequently come with multiple diverse obje...

0 Bracha Laufer-Goldshtein, et al. ∙

∙ 08/25/2022

Calibrated Selective Classification

Selective classification allows models to abstain from making prediction...

3 Adam Fisch, et al. ∙

∙ 03/15/2021

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

Typical fact verification models use retrieved written evidence to verif...

15 Tal Schuster, et al. ∙

∙ 02/17/2021

Few-shot Conformal Prediction with Auxiliary Tasks

We develop a novel approach to conformal prediction when the target task...

6 Adam Fisch, et al. ∙

∙ 12/31/2020

Making Pre-trained Language Models Better Few-shot Learners

The recent GPT-3 model (Brown et al., 2020) achieves remarkable few-shot...

11 Tianyu Gao, et al. ∙

∙ 11/09/2020

CapWAP: Captioning with a Purpose

The traditional image captioning task uses generic reference captions to...

1 Adam Fisch, et al. ∙

∙ 07/06/2020

Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels

Providing a small set of promising candidates in place of a single predi...

8 Adam Fisch, et al. ∙

∙ 10/22/2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

We present the results of the Machine Reading for Question Answering (MR...

0 Adam Fisch, et al. ∙

∙ 09/20/2019

Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers

This paper explores the task of leveraging typology in the context of cr...

0 Adam Fisch, et al. ∙

∙ 09/12/2017

StarSpace: Embed All The Things!

We present StarSpace, a general-purpose neural embedding model that can ...

0 Ledell Wu, et al. ∙

∙ 05/18/2017

ParlAI: A Dialog Research Software Platform

We introduce ParlAI (pronounced "par-lay"), an open-source software plat...

0 Alexander H. Miller, et al. ∙

∙ 03/31/2017

Reading Wikipedia to Answer Open-Domain Questions

This paper proposes to tackle open- domain question answering using Wiki...

0 Danqi Chen, et al. ∙

∙ 06/09/2016

Key-Value Memory Networks for Directly Reading Documents

Directly reading documents and being able to answer questions from them ...

0 Alexander Miller, et al. ∙

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