Labeling neural network submodules with human-legible descriptions is us...
Text-to-image models suffer from various safety issues that may limit th...
Much of the knowledge encoded in transformer language models (LMs) may b...
Recent work has shown that computation in language models may be
human-u...
Motivated by recent advancements in text-to-image diffusion, we study er...
Language models show a surprising range of capabilities, but the source ...
Recent work has shown exciting promise in updating large language models...
The growing proliferation of pretrained generative models has made it
in...
Deep generative models make visual content creation more accessible to n...
We introduce the task of local relighting, which changes a photograph of...
The CLIP network measures the similarity between natural text and images...
We investigate the mechanisms underlying factual knowledge recall in
aut...
Some neurons in deep networks specialize in recognizing highly specific
...
We present a methodology for modifying the behavior of a classifier by
d...
A large body of recent work has identified transformations in the latent...
Can a user create a deep generative model by sketching a single example?...
We investigate the problem of zero-shot semantic image painting. Instead...
Deep neural networks excel at finding hierarchical representations that ...
The quality of image generation and manipulation is reaching impressive
...
A deep generative model such as a GAN learns to model a rich set of sema...
We introduce a simple but effective unsupervised method for generating
r...
Despite the recent success of GANs in synthesizing images conditioned on...
Despite the success of Generative Adversarial Networks (GANs), mode coll...
Pruning is a standard technique for removing unnecessary structure from ...
Generative Adversarial Networks (GANs) have achieved impressive results ...
Generative Adversarial Networks (GANs) have recently achieved impressive...
We revisit the importance of the individual units in Convolutional Neura...
There has recently been a surge of work in explanatory artificial
intell...
The success of recent deep convolutional neural networks (CNNs) depends ...
Blocks-based programming has become the lingua franca for introductory
c...
We propose a general framework called Network Dissection for quantifying...