firstbacksecondback
28 Results
|
Poster
|
Tue 9:00 |
Learning Neural Event Functions for Ordinary Differential Equations Tian Qi Chen · Brandon Amos · Maximilian Nickel |
|
|
Poster
|
Tue 17:00 |
Monotonic Kronecker-Factored Lattice William Bakst · Nobuyuki Morioka · Erez Louidor |
|
|
Poster
|
Tue 9:00 |
FairBatch: Batch Selection for Model Fairness Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh |
|
|
Poster
|
Tue 17:00 |
Individually Fair Rankings Amanda Bower · Hamid Eftekhari · Mikhail Yurochkin · Yuekai Sun |
|
|
Poster
|
Tue 9:00 |
Fair Mixup: Fairness via Interpolation Ching-Yao Chuang · Youssef Mroueh |
|
|
Poster
|
Mon 1:00 |
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders Pengyu Cheng · Weituo Hao · Siyang Yuan · Shijing Si · Lawrence Carin |
|
|
Workshop
|
Fri 5:45 |
Self-Supervision for Reinforcement Learning Ankesh Anand · Bogdan Mazoure · Amy Zhang · Thang Doan · Khurram Javed · R Devon Hjelm · Martha White |
|
|
Poster
|
Tue 9:00 |
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang · Shagun Sodhani · Khimya Khetarpal · Joelle Pineau |
|
|
Invited Talk
|
Mon 8:00 |
Moving beyond the fairness rhetoric in machine learning Timnit Gebru |
|
|
Poster
|
Mon 17:00 |
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections Peizhao Li · Yifei Wang · Han Zhao · Pengyu Hong · Hongfu Liu |
|
|
Workshop
|
Fri 9:36 |
Contributed Talk #1: Ditto: Fair and Robust Federated Learning Through Personalization Tian Li · Ahmad Beirami · Virginia Smith |
|
|
Poster
|
Thu 9:00 |
Neural Spatio-Temporal Point Processes Tian Qi Chen · Brandon Amos · Maximilian Nickel |