Hendrik Strobelt | DeepAI

AI Chat

Featured Co-authors

Wei Xu
242 publications
Pin-Yu Chen
183 publications
Joshua B. Tenenbaum
180 publications
Antonio Torralba
148 publications
Bolei Zhou
99 publications
Hanspeter Pfister
81 publications
William T. Freeman
77 publications
Alexander M. Rush
77 publications
Diyi Yang
75 publications
Barbara Hammer
70 publications
Duen Horng Chau
66 publications

∙ 05/04/2023

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Diffusion-based generative models' impressive ability to create convinci...

5 Seongmin Lee, et al. ∙

∙ 02/14/2023

Energy Transformer

Transformers have become the de facto models of choice in machine learni...

0 Benjamin Hoover, et al. ∙

∙ 01/11/2023

The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference

With a constant increase of learned parameters, modern neural language m...

0 Richard Brath, et al. ∙

∙ 08/16/2022

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

State-of-the-art neural language models can now be used to solve ad-hoc ...

8 Hendrik Strobelt, et al. ∙

∙ 06/07/2022

Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods

Saliency methods calculate how important each input feature is to a mach...

17 Angie Boggust, et al. ∙

∙ 11/02/2021

LMdiff: A Visual Diff Tool to Compare Language Models

While different language models are ubiquitous in NLP, it is hard to con...

7 Hendrik Strobelt, et al. ∙

∙ 10/19/2021

GenNI: Human-AI Collaboration for Data-Backed Text Generation

Table2Text systems generate textual output based on structured data util...

5 Hendrik Strobelt, et al. ∙

∙ 07/20/2021

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment

Saliency methods – techniques to identify the importance of input featur...

10 Angie Boggust, et al. ∙

∙ 02/02/2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

We introduce GEM, a living benchmark for natural language Generation (NL...

5 Sebastian Gehrmann, et al. ∙

∙ 12/20/2020

Latent Compass: Creation by Navigation

In Marius von Senden's Space and Sight, a newly sighted blind patient de...

11 Sarah Schwettmann, et al. ∙

∙ 09/10/2020

Understanding the Role of Individual Units in a Deep Neural Network

Deep neural networks excel at finding hierarchical representations that ...

11 David Bau, et al. ∙

∙ 07/10/2020

MiniConf – A Virtual Conference Framework

MiniConf is a framework for hosting virtual academic conferences motivat...

0 Alexander M. Rush, et al. ∙

∙ 05/22/2020

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics

De novo therapeutic design is challenged by a vast chemical repertoire a...

0 Payel Das, et al. ∙

∙ 05/15/2020

Semantic Photo Manipulation with a Generative Image Prior

Despite the recent success of GANs in synthesizing images conditioned on...

21 David Bau, et al. ∙

∙ 04/02/2020

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

The recent COVID-19 pandemic has highlighted the need for rapid therapeu...

24 Vijil Chenthamarakshan, et al. ∙

∙ 10/24/2019

Seeing What a GAN Cannot Generate

Despite the success of Generative Adversarial Networks (GANs), mode coll...

53 David Bau, et al. ∙

∙ 10/11/2019

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models

Large language models can produce powerful contextual representations th...

0 Benjamin Hoover, et al. ∙

∙ 10/02/2019

ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion

Classifiers are among the most widely used supervised machine learning a...

0 Andreas Hinterreiter, et al. ∙

∙ 07/30/2019

Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures

Deep learning models require the configuration of many layers and parame...

2 Dylan Cashman, et al. ∙

∙ 07/24/2019

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference

Automation of tasks can have critical consequences when humans lose agen...

14 Sebastian Gehrmann, et al. ∙

∙ 06/10/2019

GLTR: Statistical Detection and Visualization of Generated Text

The rapid improvement of language models has raised the specter of abuse...

0 Sebastian Gehrmann, et al. ∙

∙ 01/29/2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Generative Adversarial Networks (GANs) have achieved impressive results ...

22 David Bau, et al. ∙

∙ 01/17/2019

NeuNetS: An Automated Synthesis Engine for Neural Network Design

Application of neural networks to a vast variety of practical applicatio...

0 Atin Sood, et al. ∙

∙ 12/19/2018

Progressive Data Science: Potential and Challenges

Data science requires time-consuming iterative manual activities. In par...

0 Cagatay Turkay, et al. ∙

∙ 11/26/2018

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Generative Adversarial Networks (GANs) have recently achieved impressive...

10 David Bau, et al. ∙

∙ 04/25/2018

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models

Neural Sequence-to-Sequence models have proven to be accurate and robust...

0 Hendrik Strobelt, et al. ∙

∙ 06/23/2016

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

Recurrent neural networks, and in particular long short-term memory (LST...

0 Hendrik Strobelt, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world