617 citations · 617 across the 5 of their papers we have counts for
7 papers
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari +2
Recent advances in learning aligned multimodal representations have been primarily driven by training large neural networks on massive, noisy paired-modality datasets. In this work…
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar +1
Noise-contrastive estimation (NCE) is a statistically consistent method for learning unnormalized probabilistic models. It has been empirically observed that the choice of the nois…
The Risks of Invariant Risk Minimization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
Invariant Causal Prediction (Peters et al., 2016) is a technique for out-of-distribution generalization which assumes that some aspects of the data distribution vary across the tra…
Self-Reflective Variational Autoencoder
Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
The Variational Autoencoder (VAE) is a powerful framework for learning probabilistic latent variable generative models. However, typical assumptions on the approximate posterior di…
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar +1
Machine learning algorithms are known to be susceptible to data poisoning attacks, where an adversary manipulates the training data to degrade performance of the resulting classifi…
Human-Usable Password Schemas: Beyond Information-Theoretic Security
Elan Rosenfeld, Santosh Vempala, Manuel Blum
Password users frequently employ passwords that are too simple, or they just reuse passwords for multiple websites. A common complaint is that utilizing secure passwords is too dif…