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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

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20
62
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Papers (including subtopics)

Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021
Coded-InvNet for Resilient Prediction Serving Systems ICML 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
Improved Contrastive Divergence Training of Energy-Based Models ICML 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations ICML 2021
On Variational Inference in Biclustering Models ICML 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021
Uncertainty Principles of Encoding GANs ICML 2021
Understanding Noise Injection in GANs ICML 2021
Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis ICML 2021
Generative Adversarial Transformers ICML 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021