firstbacksecondback
35 Results
|
Workshop
|
Black-Box Batch Active Learning for Regression Andreas Kirsch |
||
|
Workshop
|
Accelerating Batch Active Learning Using Continual Learning Techniques Gantavya Bhatt · Arnav M Das · · Rui Yang · Vianne Gao · Jeff Bilmes |
||
|
Workshop
|
BatchGFN: Generative Flow Networks for Batch Active Learning Shreshth Malik · Salem Lahlou · Andrew Jesson · Moksh Jain · Nikolay Malkin · Tristan Deleu · Yoshua Bengio · Yarin Gal |
||
|
Workshop
|
Bayesian Active Meta-Learning under Prior Misspecification Sabina Sloman · Ayush Bharti · Samuel Kaski |
||
|
Poster
|
Tue 17:00 |
Active Learning based Structural Inference Aoran Wang · Jun Pang |
|
|
Workshop
|
Taming Small-sample Bias in Low-budget Active Learning Linxin Song · Jieyu Zhang · Xiaotian Lu · Tianyi Zhou |
||
|
Poster
|
Thu 16:30 |
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines Siyuan Chen · Pratik Fegade · Tianqi Chen · Phillip Gibbons · Todd Mowry |
|
|
Workshop
|
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang · Shuai Shao · Saurabh Verma · Robert Nowak |
||
|
Poster
|
Tue 14:00 |
Active causal structure learning with advice Davin Choo · Themis Gouleakis · Arnab Bhattacharyya |
|
|
Workshop
|
Don't trust your eyes: on the (un)reliability of feature visualizations |
||
|
Workshop
|
Active Reinforcement Learning from Demonstration in Continuous Action Spaces Ming-Hsin Chen · Si-An Chen · Hsuan-Tien (Tien) Lin |
||
|
Poster
|
Thu 16:30 |
Streaming Active Learning with Deep Neural Networks Akanksha Saran · Safoora Yousefi · Akshay Krishnamurthy · John Langford · Jordan Ash |