A CLOSER LOOK AT LOSS WEIGHTING IN MULTI-TASK LEARNING.pdf
AdaTT - Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.pdf
AdaTask - A Task-aware Adaptive Learning Rate Approach to Multi-task Learning.pdf
CAM2 - Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems.pdf
Can Small Heads Help Understanding and Improving Multi-Task Generalization.pdf
Conflict-Averse Gradient Descent for Multi-task Learning.pdf
Cross-stitch Networks for Multi-task Learning.pdf
DSelect-k - Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.pdf
DTN - Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation.pdf
Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning.pdf
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.pdf
Dynamic Task Prioritization for Multitask Learning.pdf
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction.pdf
Feature Decomposition for Reducing Negative Transfer - A Novel Multi-task Learning Method for Recommender System.pdf
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction.pdf
HoME - Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou.pdf
HyperGrid Transformers - Towards A Single Model for Multiple Tasks.pdf
Improving Training Stability for Multitask Ranking Models in Recommender Systems.pdf
Learning to Recommend with Multiple Cascading Behaviors.pdf
MSSM - A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.pdf
MetaBalance - Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.pdf
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling.pdf
Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation.pdf
Multi-Task Deep Recommender Systems - A Survey.pdf
Multi-Task Learning as Multi-Objective Optimization - slide.pdf
Multi-Task Learning for Dense Prediction Tasks - A Survey.pdf
Multi-objective Learning to Rank by Model Distillation.pdf
MultiBalance - Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System.pdf
Multitask Ranking System for Immersive Feed and No More Clicks - A Case Study of Short-Form Video Recommendation.pdf
NCS4CVR - Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction.pdf
No More Tuning - Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods.pdf
Optimizing Airbnb Search Journey with Multi-task Learning.pdf
Pareto Multi-Task Learning.pdf
Perceive Your Users in Depth - Learning Universal User Representations from Multiple E-commerce Tasks.pdf
Personalized Approximate Pareto-Efficient Recommendation.pdf
SNR - Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning.pdf
STAN - Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.pdf
STEM - Unleashing the Power of Embeddings for Multi-task Recommendation.pdf
Single-shot Feature Selection for Multi-task Recommendations.pdf
Touch the Core - Exploring Task Dependence Among Hybrid Targets for Recommendation.pdf
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning.pdf
Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction.pdf
Why I like it - multi-task learning for recommendation and explanation.pdf
[2012][MGDA] Multiple-gradient descent algorithm (MGDA) for multiobjective optimization.pdf
[2018][Alibaba][ESMM] Entire Space Multi-Task Model - An Effective Approach for Estimating Post-Click Conversion Rate.pdf
[2018][Cambridge] Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.pdf
[2018][Google][MMOE] Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts.pdf
[2018][MagicLeap][GradNorm] GradNorm - Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.pdf
[2019][Alibaba] A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation.pdf
[2019][Alibaba][DBMTL] Deep Bayesian Multi-Target Learning for Recommender Systems.pdf
[2019][Intel] Multi-Task Learning as Multi-Objective Optimization.pdf
[2019][Youtube] Recommending What Video to Watch Next - A Multitask Ranking System.pdf
[2020][Alibaba][Multi-IPW&Multi-DR] LARGE-SCALE CAUSAL APPROACHES TO DEBIASING POST-CLICK CONVERSION RATE ESTIMATION WITH MULTI-TASK LEARNING.pdf
[2020][Google][MoSE] Multitask Mixture of Sequential Experts for User Activity Streams.pdf
[2020][JD][DMT] Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.pdf
[2020][PCGrad] Gradient Surgery for Multi-Task Learning.pdf
[2021][Meituan][AITM] Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising.pdf
[2022][Alibaba][ESCM2] ESCM2 - Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.pdf
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