Media Summary: July 28th, 2022. Columbia University Abstract: Self-Supervised Authors: Yan, Xiangyi*; Naushad, Junayed A; sun, shanlin; Han, Kun; Tang, Hao; Kong, Deying; Ma, Haoyu; You, Chenyu; Xie, ... Speaker: Yonghyeon Lee from Seoul National University Code:  ...

Id 125 Efficient Representation Learning - Detailed Analysis & Overview

July 28th, 2022. Columbia University Abstract: Self-Supervised Authors: Yan, Xiangyi*; Naushad, Junayed A; sun, shanlin; Han, Kun; Tang, Hao; Kong, Deying; Ma, Haoyu; You, Chenyu; Xie, ... Speaker: Yonghyeon Lee from Seoul National University Code:  ... EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023) Instructor: Prof. Song Han Slides: William Shiao, University of California, Riverside. IFML Seminar with Aryan Mokhtari, Assistant Professor, Electrical and Computer Engineering, UT Austin Title: The Power of ...

Title: You Don't Need Strong Assumptions: Visual Caveat emptor! FORENSIC DISCLAIMER: Technical Note: FPUs are deterministic IEEE 754 hardware; the "gambling" ... Measurement and Analysis for Protocols (MAPRG) meeting session at IETF

Photo Gallery

ID 125: Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
Mido Assran - Label-Efficient Representation Learning
Representation Learning Without Labels
Representation Recovering for Self-Supervised Pre-training on Medical Images
Regularized Autoencoders for Isometric Representation Learning (ICLR 2022)
EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023)
KDD 2023 - Clustering-Accelerated Representation Learning on Graphs
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD2023)
IFML Seminar with Aryan Mokhtari: Power of Adaptivity in Representation Learning
Representation Learning with Statistical Independence to Mitigate Bias
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences (Jun 2026
125 - LPU Revolution: Semantic Certainty
View Detailed Profile
ID 125: Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision

ID 125: Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision

ID 125

Mido Assran - Label-Efficient Representation Learning

Mido Assran - Label-Efficient Representation Learning

July 28th, 2022. Columbia University Abstract: Self-Supervised

Representation Learning Without Labels

Representation Learning Without Labels

Representation Learning

Representation Recovering for Self-Supervised Pre-training on Medical Images

Representation Recovering for Self-Supervised Pre-training on Medical Images

Authors: Yan, Xiangyi*; Naushad, Junayed A; sun, shanlin; Han, Kun; Tang, Hao; Kong, Deying; Ma, Haoyu; You, Chenyu; Xie, ...

Regularized Autoencoders for Isometric Representation Learning (ICLR 2022)

Regularized Autoencoders for Isometric Representation Learning (ICLR 2022)

Speaker: Yonghyeon Lee from Seoul National University Code: https://github.com/Gabe-YHLee/IRVAE-public #deeplearning ...

EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023)

EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023)

EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023) Instructor: Prof. Song Han Slides: https://efficientml.ai.

KDD 2023 - Clustering-Accelerated Representation Learning on Graphs

KDD 2023 - Clustering-Accelerated Representation Learning on Graphs

William Shiao, University of California, Riverside.

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD2023)

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD2023)

Representation Learning

IFML Seminar with Aryan Mokhtari: Power of Adaptivity in Representation Learning

IFML Seminar with Aryan Mokhtari: Power of Adaptivity in Representation Learning

IFML Seminar with Aryan Mokhtari, Assistant Professor, Electrical and Computer Engineering, UT Austin Title: The Power of ...

Representation Learning with Statistical Independence to Mitigate Bias

Representation Learning with Statistical Independence to Mitigate Bias

Representation Learning

You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences (Jun 2026

You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences (Jun 2026

Title: You Don't Need Strong Assumptions: Visual

125 - LPU Revolution: Semantic Certainty

125 - LPU Revolution: Semantic Certainty

Caveat emptor! FORENSIC DISCLAIMER: Technical Note: FPUs are deterministic IEEE 754 hardware; the "gambling" ...

IETF 125: Measurement and Analysis for Protocols (MAPRG) 2026-03-17 06:00

IETF 125: Measurement and Analysis for Protocols (MAPRG) 2026-03-17 06:00

Measurement and Analysis for Protocols (MAPRG) meeting session at IETF