martenlienen / icml-nips-iclr-dataset
Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2023
☆34Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for icml-nips-iclr-dataset
- ☆35Updated 3 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- ☆14Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- ☆35Updated last year
- Bayesian Attention Modules☆35Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated 6 months ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- ☆36Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆49Updated last year
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆43Updated last year
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆38Updated 9 months ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆34Updated last year
- Reproducible code for Augmentation paper☆18Updated 5 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆15Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆12Updated 5 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- ☆17Updated 5 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆26Updated 3 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated last year
- Code for "Neural causal learning from unknown interventions"☆99Updated 4 years ago
- ☆65Updated 3 months ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆23Updated last year