activity
20202024
most citedMAViC: Multimodal Active Learning for Video Captioning

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

: Interpreting and leveraging semantic information in diffusion models

Dahye Kim, Xavier Thomas, Deepti Ghadiyaram

We study rich visual semantic information is represented within various layers and denoising timesteps of different diffusion architectures. We uncover monosemantic…

cs.CV2022★ 2 cited

MAViC: Multimodal Active Learning for Video Captioning

Gyanendra Das, Xavier Thomas, Anant Raj +1

A large number of annotated video-caption pairs are required for training video captioning models, resulting in high annotation costs. Active learning can be instrumental in reduci…

cs.AI2022★ 2 cited

Diversity vs. Recognizability: Human-like generalization in one-shot generative models

Victor Boutin, Lakshya Singhal, Xavier Thomas +1

Robust generalization to new concepts has long remained a distinctive feature of human intelligence. However, recent progress in deep generative models has now led to neural archit…

cs.LG2021

Adaptive Methods for Aggregated Domain Generalization

Xavier Thomas, Dhruv Mahajan, Alex Pentland +1

Domain generalization involves learning a classifier from a heterogeneous collection of training sources such that it generalizes to data drawn from similar unknown target domains,…

cs.IR2020★ 1 cited

Content-Based Personalized Recommender System Using Entity Embeddings

Xavier Thomas

Recommender systems are a class of machine learning algorithms that provide relevant recommendations to a user based on the user's interaction with similar items or based on the co…