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The 2021 schedule is still incomplete
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Sat Jul 24 04:15 AM -- 04:30 AM (PDT)
Opening Remark
In ICML Workshop on Human in the Loop Learning (HILL)
Shanghang Zhang · Shiji Zhou
Sat Jul 24 04:30 AM -- 05:00 AM (PDT)
Invited Talk #0
In ICML Workshop on Human in the Loop Learning (HILL)
Sat Jul 24 05:00 AM -- 05:30 AM (PDT)
Invited Talk #1
In ICML Workshop on Human in the Loop Learning (HILL)
Yarin Gal
Sat Jul 24 05:30 AM -- 06:00 AM (PDT)
Invited Talk #2
In ICML Workshop on Human in the Loop Learning (HILL)
Hugo Larochelle
Sat Jul 24 06:00 AM -- 06:10 AM (PDT)
Q&A
In ICML Workshop on Human in the Loop Learning (HILL)
Sat Jul 24 06:10 AM -- 06:40 AM (PDT)
Invited Talk #3
In ICML Workshop on Human in the Loop Learning (HILL)
Vittorio Ferrari
Sat Jul 24 06:40 AM -- 07:10 AM (PDT)
Invited Talk #4
In ICML Workshop on Human in the Loop Learning (HILL)
Razvan Pascanu
Sat Jul 24 07:10 AM -- 07:20 AM (PDT)
Q&A
In ICML Workshop on Human in the Loop Learning (HILL)
Sat Jul 24 07:20 AM -- 08:20 AM (PDT)
Poster
In ICML Workshop on Human in the Loop Learning (HILL)
Shiji Zhou · Nastaran Okati · Wichinpong Sinchaisri · Kim de Bie · Ana Lucic · Mina Khan · Ishaan Shah · JINGHUI LU · Andreas Kirsch · Julius Frost · Ze Gong · Gokul Swamy · Ah Young Kim · Ahmed Baruwa · Ranganath Krishnan
Sat Jul 24 08:20 AM -- 08:50 AM (PDT)
Invited Talk #5
In ICML Workshop on Human in the Loop Learning (HILL)
Fei Sha
Sat Jul 24 08:50 AM -- 09:20 AM (PDT)
Invited Talk #6
In ICML Workshop on Human in the Loop Learning (HILL)
Ranjay Krishna
Sat Jul 24 09:20 AM -- 09:30 AM (PDT)
Q&A
In ICML Workshop on Human in the Loop Learning (HILL)
Sat Jul 24 09:30 AM -- 10:00 AM (PDT)
Invited Talk #7
In ICML Workshop on Human in the Loop Learning (HILL)
Kimin Lee
Sat Jul 24 10:00 AM -- 11:00 AM (PDT)
Panel Discussion
In ICML Workshop on Human in the Loop Learning (HILL)
Sat Jul 24 11:00 AM -- 11:30 AM (PDT)
Invited Talk #8
In ICML Workshop on Human in the Loop Learning (HILL)
Alison Gopnik
Sat Jul 24 11:30 AM -- 11:50 AM (PDT)
Closing Remarks
In ICML Workshop on Human in the Loop Learning (HILL)
Accelerating the Convergence of Human-in-the-Loop Reinforcement Learning with Counterfactual Explanations
In ICML Workshop on Human in the Loop Learning (HILL)
Jakob Karalus · Felix Lindner
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
In ICML Workshop on Human in the Loop Learning (HILL)
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu
Explicable Policy Search via Preference-Based Learning under Human Biases
In ICML Workshop on Human in the Loop Learning (HILL)
Ze Gong · Yu Zhang
Explaining Reinforcement Learning Policies through Counterfactual Trajectories
In ICML Workshop on Human in the Loop Learning (HILL)
Julius Frost · Olivia Watkins · Eric Weiner · Pieter Abbeel · Trevor Darrell · Bryan Plummer · Kate Saenko
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment
In ICML Workshop on Human in the Loop Learning (HILL)
Angie Boggust · Benjamin Hoover · Arvind Satyanarayan · Hendrik Strobelt
Personalizing Pretrained Models
In ICML Workshop on Human in the Loop Learning (HILL)
Mina Khan · Advait Rane · Pattie Maes
Interpretable Machine Learning: Moving From Mythos to Diagnostics
In ICML Workshop on Human in the Loop Learning (HILL)
Valerie Chen · Jeffrey Li · Joon Kim · Gregory Plumb · Ameet Talwalkar
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions
In ICML Workshop on Human in the Loop Learning (HILL)
Kim de Bie · Ana Lucic · Hinda Haned
Differentiable Learning Under Triage
In ICML Workshop on Human in the Loop Learning (HILL)
Nastaran Okati · Abir De · Manuel Gomez-Rodriguez
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance
In ICML Workshop on Human in the Loop Learning (HILL)
Ruixuan Liu · Changliu Liu
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
In ICML Workshop on Human in the Loop Learning (HILL)
Yuanfei Wang · Fangwei Zhong · Jing Xu · Yizhou Wang
Effect of Combination of HBM and Certainty Sampling onWorkload of Semi-Automated Grey Literature Screening
In ICML Workshop on Human in the Loop Learning (HILL)
JINGHUI LU · Brian Mac Namee
Machine Teaching with Generative Models for Human Learning
In ICML Workshop on Human in the Loop Learning (HILL)
Michael Doron · Hussein Mozannar · David Sontag · Juan Caicedo
PreferenceNet: Encoding Human Preferences in Auction Design
In ICML Workshop on Human in the Loop Learning (HILL)
Neehar Peri · Michael Curry · Samuel Dooley · John P Dickerson
Less is more: An Empirical Analysis of Model Compression for Dialogue
In ICML Workshop on Human in the Loop Learning (HILL)
Ahmed Baruwa
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models.
In ICML Workshop on Human in the Loop Learning (HILL)
Zeyad Emam · Sasha Harrison · Felix Lau · Ah Young Kim
Active Learning under Pool Set Distribution Shift and Noisy Data
In ICML Workshop on Human in the Loop Learning (HILL)
Andreas Kirsch · Tom Rainforth · Yarin Gal
Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback
In ICML Workshop on Human in the Loop Learning (HILL)
Ishaan Shah · David Halpern · Michael L. Littman · Kavosh Asadi
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
In ICML Workshop on Human in the Loop Learning (HILL)
Ana Lucic · Maartje ter Hoeve · Gabriele Tolomei · Maarten de Rijke · Fabrizio Silvestri
Improving Human Decision-Making with Machine Learning
In ICML Workshop on Human in the Loop Learning (HILL)
Hamsa Bastani · Osbert Bastani · Wichinpong Sinchaisri
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
In ICML Workshop on Human in the Loop Learning (HILL)
Haoyu Xiong · Yun-Chun Chen · Homanga Bharadhwaj · Samrath Sinha · Animesh Garg
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
In ICML Workshop on Human in the Loop Learning (HILL)
Lorena Qendro · Alex Campbell · Pietro Lió · Cecilia Mascolo
Differentially Private Active Learning with Latent Space Optimization
In ICML Workshop on Human in the Loop Learning (HILL)
Senching Cheung · Xiaoqing Zhu · Herb Wildfeuer · Chongruo Wu · Wai-tian Tan
A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions
In ICML Workshop on Human in the Loop Learning (HILL)
Andreas Kirsch · Sebastian Farquhar · Yarin Gal
Interpretable Video Transformers in Imitation Learning of Human Driving
In ICML Workshop on Human in the Loop Learning (HILL)
Andrew Dai
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
In ICML Workshop on Human in the Loop Learning (HILL)
Lucie Charlotte Magister · Dmitry Kazhdan · Vikash Singh · Pietro Lió
Mitigating Sampling Bias and Improving Robustness in Active Learning
In ICML Workshop on Human in the Loop Learning (HILL)
Ranganath Krishnan · Alok Sinha · Nilesh Ahuja · Mahesh Subedar · Omesh Tickoo · Ravi Iyer