Peter Henderson

J. Zico Kolter

Geoffrey Irving

Yarin Gal … (voir 2 de plus)

Yoshua Bengio

Dylan Hadfield-Menell

2024-12-31

SSRN Electronic Journal (accepté)

The Responsible Foundation Model Development Cheatsheet: A Review of Tools&Resources

Shayne Longpre

Stella Biderman

Alon Albalak

Hailey Schoelkopf

Daniel McDuff

Sayash Kapoor

Kevin Klyman

Kyle Lo

Gabriel Ilharco

Nay San

Maribeth Rauh

Aviya Skowron

Bertie Vidgen

Laura Weidinger

Arvind Narayanan

Victor Sanh

David Ifeoluwa Adelani

Percy Liang

Rishi Bommasani

Peter Henderson … (voir 3 de plus)

Sasha Luccioni

Yacine Jernite

Luca Soldaini

2024-12-06

TMLR (accepté)

openreview.net

Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct

Jieru Hu

Mona Diab

Joelle Pineau

2024-03-11

Proceedings of the Symposium on Computer Science and Law (publié)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Teven Le Scao

Angela Fan

Christopher Akiki

Ellie Pavlick

Suzana Ili'c

Daniel Hesslow

Roman Castagn'e

Alexandra Luccioni

François Yvon

Matthias Gall'e

J. Tow

Alexander M. Rush

Stella Biderman

Alex Webson

Pawan Sasanka Ammanamanchi

Thomas Wang

Benoı̂t Sagot

Niklas Muennighoff

Albert Villanova del Moral

Olatunji Ruwase … (voir 372 de plus)

Rachel Bawden

Stas Bekman

Angelina McMillan-Major

Iz Beltagy

Huu Nguyen

Lucile Saulnier

Samson Tan

Pedro Ortiz Suarez

Victor Sanh

Hugo Laurençon

Yacine Jernite

Julien Launay

Margaret Mitchell

Colin Raffel

Aaron Gokaslan

Adi Simhi

Aitor Soroa

Alham Fikri Aji

Amit Alfassy

Anna Rogers

Ariel Kreisberg Nitzav

Canwen Xu

Chenghao Mou

Chris Emezue

Christopher Klamm

Colin D. Leong

Daniel Van Strien

David Ifeoluwa Adelani

Dragomir R. Radev

Eduardo González Ponferrada

Efrat Levkovizh

Ethan Kim

Eyal Bar Natan

Francesco De Toni

Gérard Dupont

Germán Kruszewski

Giada Pistilli

Hady Elsahar

Hamza Benyamina

Hieu Tran

Ian W. Yu

Idris Abdulmumin

Isaac L. Johnson

Itziar Gonzalez-Dios

Javier de la Rosa

Jenny Chim

Jesse Dodge

Jian Zhu

Jonathan Chang

Jörg Frohberg

Josephine L. Tobing

J. Bhattacharjee

Khalid Almubarak

Kimbo Chen

Kyle Lo

Leandro Von Werra

Leon Weber

Long Phan

Loubna Ben allal

Ludovic Tanguy

Manan Dey

Manuel Romero Muñoz

Maraim Masoud

Mar'ia Grandury

Mario Šaško

Max Huang

Maximin Coavoux

Mayank Singh

Mike Tian-Jian Jiang

Vu Minh Chien

Mohammad Ali Jauhar

Mustafa Ghaleb

Nishant Subramani

Nora Kassner

Nurulaqilla Khamis

Olivier Nguyen

Omar Espejel

Ona de Gibert

Paulo Villegas

Pierre Colombo

Priscilla A. Amuok

Quentin Lhoest

Rheza Harliman

Rishi Bommasani

Roberto Luis L'opez

Rui Ribeiro

Salomey Osei

Sampo Pyysalo

Sebastian Nagel

Shamik Bose

Shamsuddeen Hassan Muhammad

Shanya Sharma Sharma

Shayne Longpre

Somaieh Nikpoor

S. Silberberg

Suhas Pai

Sydney Zink

Tiago Timponi Torrent

Timo Schick

Tristan Thrush

Valentin Danchev

Vassilina Nikoulina

Veronika Laippala

Violette Lepercq

Vrinda Prabhu

Zaid Alyafeai

Zeerak Talat

Arun Raja

Benjamin Heinzerling

Chenglei Si

Elizabeth E Salesky

Sabrina J. Mielke

Wilson Y. Lee

Abheesht Sharma

Andrea Santilli

Antoine Chaffin

Arnaud Stiegler

Debajyoti Datta

Eliza Szczechla

Gunjan Chhablani

Han Wang

Harshit Pandey

Hendrik. Strobelt

Jason Alan Fries

Jos Rozen

Leo Gao

Lintang A. Sutawika

M. Saiful Bari

Maged S. Al-shaibani

Matteo Manica

Nihal V. Nayak

Ryan Teehan

Samuel Albanie

Sheng Shen

Srulik Ben-David

Stephen H. Bach

Taewoon Kim

T. Bers

Thibault F'evry

Trishala Neeraj

Urmish Thakker

Vikas Raunak

Xiang Tang

Zheng Xin Yong

Zhiqing Sun

Shaked Brody

Y. Uri

Hadar Tojarieh

Adam Roberts

Hyung Won Chung

Jaesung Tae

Jason Phang

Ofir Press

Conglong Li

D. Narayanan

Hatim Bourfoune

Jared Casper

Jeff Rasley

Max Ryabinin

Mayank Mishra

Minjia Zhang

Mohammad Shoeybi

Myriam Peyrounette

Nicolas Patry

Nouamane Tazi

Omar Sanseviero

Patrick von Platen

Pierre Cornette

Pierre Franccois Lavall'ee

R'emi Lacroix

Samyam Rajbhandari

Sanchit Gandhi

Shaden Smith

St'ephane Requena

Suraj Patil

Tim Dettmers

Ahmed Baruwa

Amanpreet Singh

Anastasia Cheveleva

Anne-Laure Ligozat

Arjun Subramonian

Aur'elie N'ev'eol

Charles Lovering

Dan Garrette

D. Tunuguntla

Ehud Reiter

Ekaterina Taktasheva

E. Voloshina

Eli Bogdanov

Genta Indra Winata

Hailey Schoelkopf

Jan-Christoph Kalo

Jekaterina Novikova

Jessica Zosa Forde

Xiangru Tang

Jungo Kasai

Ken Kawamura

Liam Hazan

Marine Carpuat

Miruna-adriana Clinciu

Najoung Kim

Newton Cheng

O. Serikov

Omer Antverg

Oskar van der Wal

Rui Zhang

Ruochen Zhang

Sebastian Gehrmann

Shachar Mirkin

S. Pais

Tatiana Shavrina

Thomas Scialom

Tian Yun

Tomasz Limisiewicz

Verena Teresa Rieser

Vitaly Protasov

V. Mikhailov

Yada Pruksachatkun

Yonatan Belinkov

Zachary Bamberger

Zdenˇek Kasner

Zdeněk Kasner

A. Pestana

Amir Feizpour

Ammar Khan

Amy Faranak

A. Santos

Anthony Hevia

Antigona Unldreaj

Arash Aghagol

Arezoo Abdollahi

Aycha Tammour

Azadeh Hajihosseini

Bahareh Behroozi

Benjamin A. Ajibade

B. Saxena

Carlos Muñoz Ferrandis

Danish Contractor

D. Lansky

Davis David

Douwe Kiela

Duong Anh Nguyen

Edward Chwee Kheng. Tan

Emi Baylor

Ezinwanne Ozoani

F. Mirza

Frankline Ononiwu

Habib Rezanejad

H.A. Jones

Indrani Bhattacharya

Irene Solaiman

Irina Sedenko

Isar Nejadgholi

J. Passmore

Joshua Seltzer

Julio Bonis Sanz

Karen Fort

Livia Macedo Dutra

Mairon Samagaio

Maraim Elbadri

Margot Mieskes

Marissa Kumar Gerchick

Martha Akinlolu

Michael McKenna

Mike Qiu

M. Ghauri

Mykola Burynok

Nafis Abrar

Nazneen Fatema Rajani

Nour Elkott

N. Fahmy

Olanrewaju Samuel

Ran An

R. Kromann

Ryan Hao

Samira Hassan Alizadeh

Sarmad Shubber

Silas L. Wang

Sourav Roy

Sylvain Viguier

Thanh-Cong Le

Tobi Oyebade

T. Le

Yoyo Yang

Zach Nguyen

Abhinav R. Kashyap

Alfredo Palasciano

Alison Callahan

Anima Shukla

Antonio Miranda-Escalada

Ayush Singh

Benjamin Beilharz

Bo Wang

Caio Matheus Fonseca De Brito

Chenxi Zhou

Chirag Jain

Chuxin Xu

Cl'ementine Fourrier

Daniel Le'on Perin'an

Daniel Molano

Dian Yu

Enrique Manjavacas

Fabio Barth

Florian Fuhrimann

Gabriel Altay

Giyaseddin Bayrak

Gully Burns

Helena U. Vrabec

I. Bello

Isha Dash

J. Kang

John Michael Giorgi

Jonas Golde

J. Posada

Karthi Sivaraman

Lokesh Bulchandani

Li Li

Luisa Shinzato

Madeleine Hahn de Bykhovetz

Maiko Takeuchi

Marc Pamies

M. A. Castillo

Marianna Nezhurina

Mario Sanger

Matthias Samwald

Michael Joseph Cullan

Michael Weinberg

Michiel De Wolf

Mina Mihaljcic

Minna Liu

Moritz Freidank

Myungsun Kang

Natasha Seelam

Nathan Dahlberg

Nicholas Michio Broad

Nikolaus Muellner

Pascale Fung

Patricia Haller

Ramya Chandrasekhar

Patrick Haller

Renata Eisenberg

Robert Martin

Rodrigo Canalli

Rosaline Su

Ruisi Su

Samuel Cahyawijaya

Samuele Garda

Shlok S Deshmukh

Shubhanshu Mishra

Sid Kiblawi

Simon Ott

Sinee Sang-aroonsiri

Srishti Kumar

Stefan Schweter

Sushil Pratap Bharati

Tanmay Laud

Th'eo Gigant

Tomoya Kainuma

Wojciech Kusa

Yanis Labrak

Yashasvi Bajaj

Yash Venkatraman

Yifan Xu

Ying Xu

Yu Xu

Zhijun Tan

Zhongli Xie

Zifan Ye

Mathilde Le Bras

Younes Belkada

Thomas Wolf

2022-11-08

ArXiv (prépublication)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Miles Brundage

Shahar Avin

Jasmine Wang

Haydn Belfield

Gretchen Krueger

Gillian Hadfield

Heidy Khlaaf

Jingying Yang

Helen Toner

Ruth Fong

Tegan Maharaj

Pang Wei Koh

Sara Hooker

Jade Leung

Andrew Trask

Emma Bluemke

Jonathan Lebensold

Cullen O'Keefe

Mark Koren

Théo Ryffel … (voir 39 de plus)

JB Rubinovitz

Tamay Besiroglu

Federica Carugati

Jack Clark

Peter Eckersley

Sarah de Haas

Maritza Johnson

Ben Laurie

Alex Ingerman

Igor Krawczuk

Amanda Askell

Rosario Cammarota

Andrew Lohn

David Krueger

Charlotte Stix

Logan Graham

Carina Prunkl

Bianca Martin

Elizabeth Seger

Noa Zilberman

Seán Ó hÉigeartaigh

Frens Kroeger

Girish Sastry

Rebecca Kagan

Adrian Weller

Brian Tse

Elizabeth Barnes

Allan Dafoe

Paul Scharre

Ariel Herbert-Voss

Martijn Rasser

Shagun Sodhani

Carrick Flynn

Thomas Krendl Gilbert

Lisa Dyer

Saif Khan

Yoshua Bengio

Markus Anderljung

With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and … (voir plus)recognition that existing regulations and norms in industry and academia are insufficient to ensure responsible AI development. In order for AI developers to earn trust from system users, customers, civil society, governments, and other stakeholders that they are building AI responsibly, they will need to make verifiable claims to which they can be held accountable. Those outside of a given organization also need effective means of scrutinizing such claims. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems and their associated development processes, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems. We analyze ten mechanisms for this purpose--spanning institutions, software, and hardware--and make recommendations aimed at implementing, exploring, or improving those mechanisms.

2019-12-31

arXiv (prépublication)

Deep Reinforcement Learning that Matters

Philip Bachman

In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning… (voir plus) (RL). Reproducing existing work and accurately judging the improvements offered by novel methods is vital to sustaining this progress. Unfortunately, reproducing results for state-of-the-art deep RL methods is seldom straightforward. In particular, non-determinism in standard benchmark environments, combined with variance intrinsic to the methods, can make reported results tough to interpret. Without significance metrics and tighter standardization of experimental reporting, it is difficult to determine whether improvements over the prior state-of-the-art are meaningful. In this paper, we investigate challenges posed by reproducibility, proper experimental techniques, and reporting procedures. We illustrate the variability in reported metrics and results when comparing against common baselines and suggest guidelines to make future results in deep RL more reproducible. We aim to spur discussion about how to ensure continued progress in the field by minimizing wasted effort stemming from results that are non-reproducible and easily misinterpreted.

2018-04-28

Proceedings of the AAAI Conference on Artificial Intelligence (publié)

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

Wei-Di Chang

Reinforcement learning has shown promise in learning policies that can solve complex problems. However, manually specifying a good reward fu… (voir plus)nction can be difficult, especially for intricate tasks. Inverse reinforcement learning offers a useful paradigm to learn the underlying reward function directly from expert demonstrations. Yet in reality, the corpus of demonstrations may contain trajectories arising from a diverse set of underlying reward functions rather than a single one. Thus, in inverse reinforcement learning, it is useful to consider such a decomposition. The options framework in reinforcement learning is specifically designed to decompose policies in a similar light. We therefore extend the options framework and propose a method to simultaneously recover reward options in addition to policy options. We leverage adversarial methods to learn joint reward-policy options using only observed expert states. We show that this approach works well in both simple and complex continuous control tasks and shows significant performance increases in one-shot transfer learning.

2018-04-28

Proceedings of the AAAI Conference on Artificial Intelligence (publié)