minyoungg / overparam
☆41Updated 2 years ago
Alternatives and similar repositories for overparam:
Users that are interested in overparam are comparing it to the libraries listed below
- ☆31Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆18Updated 4 years ago
- ☆25Updated 4 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- Fair Generative Modeling via Weak Supervision☆20Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 3 years ago
- ☆50Updated 4 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- ☆95Updated 2 years ago
- ☆16Updated last year
- ☆24Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆26Updated 3 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆61Updated 2 years ago
- Invertible Generative Flows☆82Updated 4 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 11 months ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks☆58Updated 4 years ago
- Learning to See by Looking at Noise☆109Updated 4 months ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- ☆54Updated 4 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆45Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- ☆23Updated 5 months ago