| A Two-Stage Neural-Filter Pareto Front Extractor and the need for Benchmarking | Sep 29, 2021 | BenchmarkingMulti-Task Learning | —Unverified | 0 |
| NAS-Bench-Zero: A Large Scale Dataset for Understanding Zero-Shot Neural Architecture Search | Sep 29, 2021 | BenchmarkingNeural Architecture Search | —Unverified | 0 |
| Benchmarking person re-identification approaches and training datasets for practical real-world implementations | Sep 29, 2021 | BenchmarkingPedestrian Detection | —Unverified | 0 |
| Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment | Sep 29, 2021 | Atari GamesBenchmarking | —Unverified | 0 |
| Benchmarking Graph Neural Networks on Dynamic Link Prediction | Sep 29, 2021 | BenchmarkingDynamic Link Prediction | CodeCode Available | 1 |
| Less is more: Selecting the right benchmarking set of data for time series classification | Sep 29, 2021 | BenchmarkingTime Series | —Unverified | 0 |
| Imitation Learning from Pixel Observations for Continuous Control | Sep 29, 2021 | Benchmarkingcontinuous-control | —Unverified | 0 |
| Learning to Schedule Learning rate with Graph Neural Networks | Sep 29, 2021 | Benchmarkingimage-classification | —Unverified | 0 |
| Best Practices in Pool-based Active Learning for Image Classification | Sep 29, 2021 | Active LearningBenchmarking | —Unverified | 0 |
| Stabilized Self-training with Negative Sampling on Few-labeled Graph Data | Sep 29, 2021 | BenchmarkingNode Classification | —Unverified | 0 |