This is one of the most disgusting things I have read in the last months of genocide (and I have developed quite a nerve). If Germany were a decent country, this 'journalist' career would be over today and so would be any respect towards his persona.

This paper argues research should pause developing new Low-Rank Adapter merging methods and instead understand *when* reusing Low-Rank Adapters works. It shows reusing adapters is ineffective for unseen tasks unless target knowledge or templates are present. Methods 🔧: →

📢We show that continuous latent reasoning has a theoretical advantage over discrete token reasoning ( https://t.co/Q2HR9NcI2k): For a graph with n vertices and graph diameter D, a two-layer transformer with D steps of continuous CoTs can solve the directed graph reachability

Happy to share our paper was accepted at CVPRw Computer Vision the Wild 🎉

🚀Excited to share our latest work: ThinkGeo, a comprehensive benchmark for evaluating tool-augmented LLM agents on real-world remote sensing tasks! Project https://t.co/hOxgQiVOg3 Dataset https://t.co/L1egonfj53 GitHub https://t.co/Nv69Ipq9nt Paper https://t.co/iYIwZpLhXg 1/n

@cmseibold will also present practical notebooks to demonstrate the concepts we discuss. Looking forward to meeting others in the field and exploring clustering and dimensionality reduction. #CVPR2025 #MachineLearning #AI #Clustering #Visualization

This tutorial aims to provide useful skills for handling large datasets and improving AI model development. Whether you're interested in computer vision, representation learning, or multimodal systems, our session will offer valuable insights and techniques.

I'm pleased to be part of a notable group of speakers, including Laurens van der Maaten @lvdmaaten, well known for his t-SNE method, and Brandon Duderstadt, CEO of Nomic AI @nomic_ai. We'll cover both the basics and practical uses of dimensionality reduction and data clustering.

🌟 Join me at #CVPR2025 for a tutorial on "Identifying Structure in Data," where, together with @marioskoul, I'll be discussing clustering techniques that help make sense of unstructured data. 🔗 Tutorial Details: https://t.co/fKWxRn9cmN

Happy to share my first 1st author paper In this paper, we explore that Vision-Language Models (Clip/Siglip) fail in understanding basic Image Transforms. [1/4]

A fairer option might have been to remove the culpable author from the accepted papers. This would punish the right person while satisfying the egos of those who have nothing to lose. Sad #CVPR2025

As promised, #CVPR2025 has delivered! 19 papers desk rejected because one of the auhtor irresponsibly reviewed others' work. Kudos to CVPR for punishing the rest of honest authors and their hard work. Congrats to the community for redefining fairness! 🎉

📣 GenMol has arrived. Learn how GenMol speeds up large-scale #drugdiscovery, thanks to its parallel decoding and fragment remasking strategy. Compare it side-by-side with SAFE-GPT in our blog. #NVIDIANIM #NVIDIAhealthcare Deep dive in our blog ➡️ https://t.co/vwxaNymo95

How to deploy an LLM on an edge device, especially in a car? The Mercedes-Benz research team shows us how! They optimized a small language model (SLM) for in-vehicle function-calling: ⭐️Key Highlights: * Model Compression: * Pruned 8 most similar layers (depth-wise pruning)

Yesterday the hyped Genesis simulator released. But it's up to 10x slower than existing GPU sims, not 10-80x faster or 430,000x faster than realtime since they benchmark mostly static environments blog post with corrected open source benchmarks & details:

Please read our statement on the remarks made by Dr. Rosalind Picard at her NeurIPS 2024 invited talk and our commitment to respect, inclusivity, and upholding our values: https://t.co/AsAtriVq5V

I was at her talk and was really taken a back when i saw this slide. She asked for all the push back she is getting. It’s great that Rosalind is going through RLHF right now. Hopefully she will be aligned to anti-racism values and ready to give safe talks real soon. #NeurIPS2024

Many people are in the middle of the @CVPR deadline. So I'm sharing my guide to writing a CVPR paper (or any paper). My students have had this for years but I haven't shared it publicly before. I hope you find it useful and write a great paper. #CVPR2025

Some people have lost their titles or jobs due to plagiarism, e.g., Harvard's former president. But after this #NobelPrizeinPhysics2024, how can advisors now continue to tell their students that they should avoid plagiarism at all costs? Of course, it is well known that

Excited to announce the CALL FOR PAPERS for our Special Issue (SI) on ``Visual Domain Generalization in Real-World Applications'' at IJCV. https://t.co/PcPraezUf0 Guest editors: Biplab Banerjee Tatiana Tommasi Vineeth N Balasubramanian Kaiyang Zhou Karteek Alahari