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VidDetours

Official code and data release of CVPR 2024 (highlight) paper "Detours for Navigating Instructional Videos"

Python
9
0
1
Updated a month ago
public

ecevecce

Metrics of calibration for probabilistic predictions

TeX
9
0
0
Updated 3 months ago
public

FIND

FIND: search For Inductive biases IN Deep seq2seq

Python
9
5
1
Updated 6 months ago
public

UNOC

TBD

Python
9
2
0
Updated a year ago
public

head-to-tail

"Head-to-Tail How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?" (NAACL 2024)

Python
9
0
0
Updated a month ago
public

social-catalysts

We introduce the notion of a social catalyst in the context of social media a person who prompts interaction between their friends through their posts. We find not only that this activity is heavily skewed, but that it also correlates with participation in groups and events. We validate the behavioral measure using a survey wherein people nominate social catalysts in their friend network. Whether a person will be nominated as a social catalyst can be predicted using network features and the tendency of their posts to prompt discussion. Although individuals' role as social catalysts has not attracted much study to date, this paper demonstrates that it can be studied both via behavioral and survey measures.

Jupyter Notebook
9
4
2
Updated a year ago
public

collaborative_image_understanding

Collaborative Image Understanding leveraging collaborative information to improve image classifiers.

Jupyter Notebook
9
0
0
Updated a year ago
public

aqa-study

This repo contains the data (question/answer pairs and their associated passages from Wikipedia) collected and used in the following paperDivyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih. "On the Efficacy of Adversarial Data Collection for Question Answering Results from a Large-Scale Randomized Study." In ACL-2021.

9
2
0
Updated 8 months ago
public

decodable_information_bottleneck

We characterize representations that are ``optimal'' -- in terms of test loss -- for a given functional family (e.g. 2 layer MLP) by proposing notions of sufficiency (being able to predict the labels) and minimality (not being able to distinguish between examples with the same labels) with respect to that functional family.

Shell
9
1
0
Updated a year ago
public

SecureFLCompression

Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.

9
2
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Updated 4 months ago
public

TaskGraph

Official code repository for "Video-Mined Task Graphs for Keystep Recognition in Instructional Videos" arXiv, 2023

Python
9
0
0
Updated 2 months ago
public

Reality-Labs-Egocentric-ET

Data and code for the paper "Motor “laziness” constrains fixation selection in real-world tasks": www.pnas.org/doi/10.1073/pnas.2302239121

MATLAB
9
2
0
Updated 11 days ago