multi-task-learning topic

Regularized Multi-task Learning in R

transbioZI

Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning

cscribano

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning

yingrliu

[arVix 2021] "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"

brandleyzhou

AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

EnnengYang

Bias Benchmark for Natural Language Inference. Code repo for the Findings of NAACL 2022 paper "On Measuring Social Biases in Prompt-Based Multi-Task Learning".

feyzaakyurek

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.

EnnengYang

Multi-Task Learning for Disaster Image Classification using MEDIC

firojalam

[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"

alpc91

Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.

yuchengml