Відео

Contrastive Learning for ML-guided MIP search - Bistra Dilkina, Associate Professor, University of Southern California Abstract and Bio: caida.ubc.ca/event/contrastive-learning-ml-guided-mip-search-bistra-dilkina-associate-professor-university caida.ubc.ca CAIDA_UBC

Predicting human decisions with behavioral theories and machine learning - Ori Plonsky, Assistant Professor, Technion-Israel Institute of Technology Abstract and Bio: caida.ubc.ca/event/predicting-human-decisions-behavioral-theories-and-machine-learning-ori-plonsky-assistant caida.ubc.ca CAIDA_UBC

Generative World Modeling for Embodied Agents - Sherry Yang, Assistant Professor, NYU Abstract and Bio: caida.ubc.ca/event/generative-world-modeling-embodied-agents-sherry-yang-assistant-professor-nyu caida.ubc.ca CAIDA_UBC

Efficient Fine-tuning via Model Reprogramming - Feng Liu, Assistant Professor, University of Melbourne Abstract and Bio: caida.ubc.ca/event/efficient-fine-tuning-model-reprogramming-feng-liu-assistant-professor-university-melbourne caida.ubc.ca CAIDA_UBC

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language - James Requeima, Postdoctoral Fellow, University of Toronto Abstract and Bio: caida.ubc.ca/event/llm-processes-numerical-predictive-distributions-conditioned-natural-language-james-requeima caida.ubc.ca CAIDA_UBC

Tuning Free (inference time) Alignment of Large Language Models - Amrit Singh Bedi, Assistant Professor, University of Central Florida Abstract and Bio: caida.ubc.ca/event/tuning-free-inference-time-alignment-large-language-models-amrit-singh-bedi-assistant caida.ubc.ca CAIDA_UBC

Clinical Radiology Workflow Management Optimization Using AI - William Parker Abstract and Bio: caida.ubc.ca/event/clinical-radiology-workflow-management-optimization-using-ai-william-parker caida.ubc.ca CAIDA_UBC

When Should Reinforcement Learning Use Causal Reasoning? - Oliver Schulte, Professor, Simon Fraser University Abstract and Bio: caida.ubc.ca/event/when-should-reinforcement-learning-use-causal-reasoning-oliver-schulte-professor-simon-fraser caida.ubc.ca CAIDA_UBC

Ensembles in the Age of Overparameterization: Promises and Pathologies - Geoff Pleiss, Assistant Professor, UBC Abstract and Bio: caida.ubc.ca/event/ensembles-age-overparameterization-promises-and-pathologies-geoff-pleiss-assistant-professor caida.ubc.ca CAIDA_UBC

Inverse constraint learning and risk averse reinforcement learning for safe AI - Pascal Poupart, Professor, University of Waterloo Abstract and Bio: caida.ubc.ca/index.php/event/inverse-constraint-learning-and-risk-averse-reinforcement-learning-safe-ai-pascal-poupart caida.ubc.ca CAIDA_UBC

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models - Quanquan Gu, Associate Professor, UCLA Abstract and Bio: caida.ubc.ca/event/self-play-fine-tuning-converts-weak-language-models-strong-language-models-quanquan-gu caida.ubc.ca CAIDA_UBC

Dr. Sarath Chandar gives an AI seminar at UBC; hosted by UBC CAIDA. Memory-augmented Optimizers for Deep Learning and Lifelong Learning - Sarath Chandar, Assistant Professor, Polytechnique Montreal Abstract and Bio: caida.ubc.ca/event/memory-augmented-optimizers-deep-learning-and-lifelong-learning-sarath-chandar-assistant caida.ubc.ca CAIDA_UBC

Dr. Michael Bronstein gives an AI seminar at UBC; hosted by UBC CAIDA. A Physical perspective on Graph Neural Networks - Michael Bronstein, Professor, University of Oxford Abstract and Bio: caida.ubc.ca/event/physical-perspective-graph-neural-networks-michael-bronstein-professor-university-oxford caida.ubc.ca CAIDA_UBC

Dr. Hongyang Zhang gives an AI seminar at UBC; hosted by UBC CAIDA. New Advances in Safe and Efficient Large Language Models - Hongyang Zhang, Assistant Professor, University of Waterloo Abstract and Bio: caida.ubc.ca/event/new-advances-safe-and-efficient-large-language-models-hongyang-zhang-assistant-professor caida.ubc.ca CAIDA_UBC

CAIDA Talk - November 30, 2023 - Serena Wang

CAIDA Talk - October 11, 2023 - Juan Wachs

PLAI Talk - June 23, 2023 - Björn Ommer

CAIDA Talk - July 11, 2023 - Qi Lei

CAIDA Talk - June 26, 2023 - Boyang Albert Li

CAIDA Talk - June 23, 2023 - Young Min Kim

CAIDA Talk - September 20, 2022 - Kameron Decker Harris

CAIDA Talk - August 29, 2022 - Gautam Kamath

CAIDA Talk - June 21, 2022 - Justin Hart

CAIDA Talk - May 18, 2022 - Tor Aamodt

CAIDA Talk - March 15, 2022 - Jonathan Herington

CAIDA Talk - March 1, 2022 - Caroline Uhler

CAIDA Talk - November 30, 2021 - Rogerio Feris

CAIDA Talk - November 22, 2021 - Richard Zemel

CAIDA Talk - November 16, 2021 - Max Welling