| An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration | Jul 17, 2023 | GPUMemorization | CodeCode Available | 0 | 5 |
| More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation | Dec 2, 2019 | Action ClassificationAction Recognition | CodeCode Available | 0 | 5 |
| The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks | Jul 25, 2022 | CPUGPU | CodeCode Available | 0 | 5 |
| Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU | Aug 10, 2023 | Decision MakingGPU | CodeCode Available | 0 | 5 |
| A Cross-Residual Learning for Image Recognition | Nov 22, 2022 | GPU | CodeCode Available | 0 | 5 |
| Espresso: Efficient Forward Propagation for Binary Deep Neural Networks | Jan 1, 2018 | CPUGPU | CodeCode Available | 0 | 5 |
| Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds | Jun 5, 2018 | GPUPoint Cloud Segmentation | CodeCode Available | 0 | 5 |
| Motion Graph Unleashed: A Novel Approach to Video Prediction | Oct 29, 2024 | GPUOptical Flow Estimation | CodeCode Available | 0 | 5 |
| Efficient Parallel Methods for Deep Reinforcement Learning | May 13, 2017 | Deep Reinforcement LearningGPU | CodeCode Available | 0 | 5 |
| MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching | Mar 12, 2025 | GPU | CodeCode Available | 0 | 5 |
