openaccess.thecvf.com
Explaining the Ambiguity of Object Detection and 6D Pose Fro…
· Shared by 4, including Matt Shaffer
cvlab.cse.msu.edu
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
1 min · · Inferring 3D structure of a generic object from a 2D image is a long-standing objective of computer vision. Conventional approaches either learn completely from CAD-generated synthetic data, which… · Shared by 4, including Matt Shaffer
AI Papers
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
1 min · · The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly challenging to automate and operationalize ML… · Shared by 78, including Nando 💪🇦🇺🇦🇷, Lynn Cherny, Matt Shaffer, hardmaru, Thomas Telandro, Alexander Seifert, Kirk Borne
qianyiwu.github.io
Sem2NeRF
1 min · · Project page for ObjectSDF: Object-Compositional Neural Implicit Surfaces. · Shared by 4, including Matt Shaffer
github.com
google-research/pse at master · google-research/google-research
· Google Research. Contribute to google-research/google-research development by creating an account on GitHub. · Shared by 7, including Matt Shaffer
agarwl.github.io
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
1 min · · Reinforcement learning methods trained on few environments rarely learn policies that generalize to unseen environments. To improve generalization, we incorporate the inherent sequential structure in… · Shared by 7, including Matt Shaffer
hxu.rocks
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
2 min · · Shared by 5, including Matt Shaffer
robots.ox.ac.uk
Unsupervised Part Discovery from Contrastive Reconstruction
1 min · · The goal of self-supervised visual representation learning is to learn strong, transferable image representations, with the majority of research focusing on object or scene level. On the other hand,… · Shared by 5, including Matt Shaffer
banmo-www.github.io
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
3 min · · CVPR 2022 - Oral Presentation Gengshan Yang2 Minh Vo3 Natalia Neverova1 Deva Ramanan2 Andrea Vedaldi1 Hanbyul Joo1 1Meta AI 2Carnegie Mellon University 3Meta Reality Labs Given multiple casual videos… · Shared by 5, including Matt Shaffer
nature
Clonal dynamics of haematopoiesis across the human lifespan
· Haematopoiesis has high clonal diversity up to about 65 years of age, after which diversity drops precipitously owing to positive selection acting on a handful of clones that expand exponentially… · Shared by 10, including Matt Shaffer, Eric Topol
EPFL
RGL | Differentiable Signed Distance Function Rendering
· Delio Vicini, Sébastien Speierer, and Wenzel Jakob. 2022. Differentiable Signed Distance Function Rendering. In Transactions on Graphics (Proceedings of SIGGRAPH) 41(4).… · Shared by 8, including Alex J. Champandard 🌻, Matt Shaffer
github.com
jvpoulos/causal-ml: Must-read papers and resources related to causal inference and machine (deep) learning
· Must-read papers and resources related to causal inference and machine (deep) learning - GitHub - jvpoulos/causal-ml: Must-read papers and resources related to causal inference and machine (deep) l... · Shared by 4, including Matt Shaffer
accelagent.github.io
Evolving Curricula
17+ min · · Interactive publication for the paper "Evolving Curricula with Regret-Based Environment Design." · Shared by 8, including Matt Shaffer
ml-quant.com
҉ ᴍʟ & ǫᴜᴀɴᴛ ғɪɴᴀɴᴄᴇ
· A Very Comprehensive Source of Financial Machine Learning, Data Science, and Quantitative Finance Research. · Shared by 8, including Matt Shaffer
class-il.mpi-inf.mpg.de
Adaptive Aggregation Networks for Class-Incremental Learning
2 min · · Paper Slides Poster Code Stars Class-Incremental Learning (CIL) aims to learn a classification model with the number of classes increasing phase-by-phase. An inherent problem in CIL is the stability… · Shared by 6, including Matt Shaffer
sciencedirect.com
Children are more exploratory and learn more than adults in an approach-avoid task
· Intuitively, children appear to be more exploratory than adults, and this exploration seems to help children learn,. However, there have been few clea… · Shared by 5, including Matt Shaffer