Search for tag: "learning"

AI Seminar 75: Pascal Poupart

Inverse Constraint Learning and Risk-Averse Reinforcement Learning for Safe AI

From  Prasad Tadepalli 4 plays

AI Seminar74: Pascal Poupart

Training Machines to Know What They Don't Know

From  Prasad Tadepalli 2 plays

AI Seminar 73: Weng-Keen Wong

Deep Learning for Radio Frequency Device Finger Printing

From  Prasad Tadepalli 1 plays

AI Seminar 72: Kunpeng Liu

Towards Automated Data Mining: Reinforcement Intelligence for Self-Optimizing Feature Engineering

From  Prasad Tadepalli 3 plays

AI Seminar 71: Siddharth Srivastava

When Sparse Data is All You Have: Learning World Models for Generalizable Planning and RL with a View Towards AI Asessment

From  Prasad Tadepalli 3 plays

AI Seminar 69: Jay Thiagarajan

Towards Safe and Actionable AI: Strategies for Robust Adaptation and Proactive Failure Detection

From  Prasad Tadepalli 2 plays

AI Seminar 67: Jean Tarbouriech

Probabilistic Inference in Reinforcement Learning Done Right

From  Prasad Tadepalli 6 plays

AI Seminar 66: Wen Sun

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

From  Prasad Tadepalli 7 plays

AI Seminar 65: Ellen Vitercik

From Large to Small Datasets: Size Generalization for Clustering Algorithm Selection

From  Prasad Tadepalli 25 plays

AI Seminar 62: Gail Rosen

Learning Sequence Representations and Interpretable ML Models for Microbial Communities

From  Prasad Tadepalli 5 plays

AI Seminar 61: Rebecca Hutchinson

Cross-validation for Geospatial Problems

From  Prasad Tadepalli 5 plays

AI Seminar 60: Amy Zhang

Value-based Abstraction for Planning

From  Prasad Tadepalli 7 plays

AI Seminar 58: Brendan O'Donoghue

Reinforcement Learning from a Bayesian Perspective

From  Prasad Tadepalli 8 plays

AI Seminar 50: Sriraam Natarajan

AI-in-the-loop for Health Care

From  Prasad Tadepalli 52 plays

AI Seminar 48: Sameer Singh

Lipstick on a Pig: Using Language Models as Few Shot Learners

From  Prasad Tadepalli 19 plays

AI Seminar46: Harsha Kokel

Integrated Planning and Reinforcement Learning for Compositional Domains

From  Prasad Tadepalli 17 plays

AI Seminar 42: Sandhya Saisubramanian

Planning and Learning for Reliable Autonomy in the Open World

From  Prasad Tadepalli 14 plays

AI Seminar 41: V John Mathews

Some Perspectives on Stochastic Gradient Learning and an Application to Neuroprosthesis

From  Prasad Tadepalli 7 plays

AI Seminar 40: Sanghyun Hong

Great Haste Makes Great Waste: Exploiting and Attacking Efficient Deep Learning

From  Prasad Tadepalli 12 plays

AI Seminar 38: Yuke Zhu

The Data Pyramid for Generalist Agents

From  Prasad Tadepalli 11 plays

AI Seminar 37 - Guy Van den Broeck

AI Can Learn from Data. But Can it Learn to Reason?

From  Prasad Tadepalli 19 plays

AI Seminar 33 - Patrick Roberts and Neville Mehta

Data Science Consulting at AWS

From  Prasad Tadepalli 12 plays

AI Seminar 30: George Trimponias

Reinforcement Learning with Exogenous States and Rewards

From  Prasad Tadepalli 11 plays

AI Seminar 29 - Anurag Koul

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

From  Prasad Tadepalli 11 plays

AI Seminar 28 - Huazheng Wang

Vulnerability and Robustness of Linear Bandits

From  Prasad Tadepalli 12 plays

Progress-Report-1

Show and tell us what you have accomplished since your last progress report (or since you started the project). Be open and honest!

From  Alec Moldovan 3 plays

AI Seminar 26 - Xiao Fu

Understanding Multiview and Self-supervised Learning: A Nonlinear Mixture Identification Perspective

From  Prasad Tadepalli 19 plays

AI Seminar 23 - Khoi Nguyen and Sinisa Todorovic

Few Shot Object Segmentation

From  Prasad Tadepalli 6 plays

AI Seminar 21 - Roni Khardon

Probabilistic Planning through the Lens of Approximate Inference

From  Prasad Tadepalli 30 plays

Tech Talk Tuesday: Lessons in Real-World Software: Going From Monolith to Microservices

Abstract The Center for Applied Systems and Software (CASS) is an experiential learning program for students. Our self-funded program provides hands-on learning for students on real world projects…

From  Alan Fern 708 plays

AI Seminar 18 - Bolei Zhang

Human-AI Collaboration for Content Generation and Machine Autonomy

From  Prasad Tadepalli 11 plays

Tech Talk Tuesday: Charismatic Robots in Everyday Human Spaces

Heather Knight, Assistant Professor Computer Science Oregon State UniversityAbstract This talk will present work from the CHARISMA Robotics lab at Oregon State University, an acronym for…

From  Alan Fern 19 plays