Improving the data efficiency of learning algorithms (e.g., low-shot, zero- shot learning). 👌.✌️.☝️. 🖊️🖊️🧨. ###.1001100101_2 🎭💫

Swarm navigation at 20 m/s with no communication, no state estimation, & on a $21 computer? .This paper combines deep learning + differentiable sim for zero-shot sim-to-real flight. It is an underrated breakthrough. Paper: #naturemachineintelligence

Zero shot learning wytłumaczony w 45s 🤓

Today I learned prompt engineering on @DataCamp. The course covers crafting clear, specific, open-ended prompts and advances to zero-shot, one-shot, and few-shot learning techniques. I also developed skills to evaluate ChatGPT's responses for accuracy and relevance.

Imitation learning has seen great success, but IL policies still struggle with OOD observations. We designed a 3D backbone, Adapt3R, that can combine with your favorite IL algorithm to enable zero-shot generalization to unseen embodiments and camera viewpoints!

🔥 The atmosphere at #CVPR2025 is amazing!. Excited to share our recent work at @tibbtech, “Segment AnyNeuron”, where we introduce zero-shot active learning for multimodal imaging to accelerate brain-wide drug discovery analysis 🧠🧬. #AI #drugdiscovery.

Excited to be in Singapore 🇸🇬 for #ICLR25! We’ll present 1) Meta Motivo, a first-of-its-kind model enabling zero-shot humanoid control for any reward, goal, or motion; 2) imitation via successor feature matching; 3) flow matching for generative TD learning of future experience.

2% 3/133. Ethical considerations for human-machine integrated formations in high risk and complex environments. Improving the data efficiency of learning algorithms (e.g., low-shot, zero- shot learning).

Heard of zero-shot or one-shot learning but never quite nailed the difference?. 🔹 Zero-shot = the model handles a task it’s never explicitly seen.🔹 One-shot = it sees one example and learns from it. Here’s a few very popular examples 👇

Few-shot vs. zero-shot learning, whats the difference? Which one should you use? . We break it down and show why it matters for government, defense, and commercial AI. Learn more at the link below!. #AI #MachineLearning #GovTech #DefenseAI

Code/tutorial released for🤗LeRobot zero-shot visual sim2real Reinforcement Learning!. Train your SO100 robot in ManiSkill's fast simulator+renderer💨 and deploy a cube picking model zero-shot. Just in time for the LeRobot Hackathon, happy hacking!.

Zero-shot Learning: A type of learning where an AI model can make accurate predictions for tasks it has never seen before. Example: The model used Zero-shot Learning to accurately classify a novel set of images it had never encountered before.

Zero Shot Learning: AI’s Key to Learning New Concepts .(upd. apr. 2025).v/ @simplilearn.#AI #MachineLearning.Cc @cloudpreacher @mclynd @YuHelenYu @gvalan @mayogisense @QAValley

One of the biggest challenges in deep learning? Training data is often off-limits due to privacy or security concerns. To solve this, Professor U Kang at SNU has developed a technique called Zero-shot Quantization (ZSQ) — allowing deep learning models to be compressed without

Tired: Teaching robots through teleoperation.Wired: Teaching robots just by wearing smart glasses and living your life. Introducing EgoZero: a lightweight framework for zero-shot robot learning purely from egocentric human data -- captured with nothing but smart glasses.

Jim Fan says NVIDIA trained humanoid robots to walk and move like humans -- zero-shot transfer from simulation to the real world. 10 years of learning, compressed into 2 hours of simulation. Turns out you don’t need a giant model to master motion. “1.5 million parameters, not

I’ll be at the robot learning workshop today and giving an oral talk at 9:15 AM on ManiSkill3 in rooms Garnet 216/217 at ICLR. Come see the crazy things you can do with fast sim+rendering like fast visual RL and zero-shot RGB sim2real!. ManiSkill was also accepted at RSS!

With ExpressRM, RNA sequencing can now predict RNA modifications—no epitranscriptome data needed. This zero-shot learning model makes RNA regulation studies more accessible across tissues and diseases.

"Zero-Shot Learning with Graphs" delves into graph-based methods for zero-shot learning, enabling AI models to recognize new concepts with minimal data. It's a sustainable innovation perfect for startups focused on ethical and efficient AI. Read more: