当前标签：seminal

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

馒头and花卷 2025-02-26 11:57 阅读:6 评论:0 推荐:0 编辑

Language-only Efficient Training of Zero-shot Composed Image Retrieval

馒头and花卷 2025-02-24 17:31 阅读:5 评论:0 推荐:0 编辑

Pic2Word

馒头and花卷 2025-02-21 15:48 阅读:2 评论:0 推荐:0 编辑

8-bit Optimizers via Block-wise Quantization

馒头and花卷 2024-12-06 11:21 阅读:65 评论:0 推荐:0 编辑

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

馒头and花卷 2024-12-03 16:23 阅读:62 评论:0 推荐:0 编辑

Modularity-based Graph Clustering

馒头and花卷 2024-09-20 15:02 阅读:29 评论:0 推荐:0 编辑

Memory-Efficient Adaptive Optimization

馒头and花卷 2024-09-10 21:25 阅读:13 评论:0 推荐:0 编辑

A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs

馒头and花卷 2024-09-08 17:21 阅读:29 评论:0 推荐:0 编辑

DCN V2 Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

馒头and花卷 2024-08-29 11:19 阅读:71 评论:2 推荐:1 编辑

GaLore Memory-Efficient LLM Training by Gradient Low-Rank Projection

馒头and花卷 2024-08-27 16:05 阅读:81 评论:0 推荐:0 编辑

Regularized Stochastic Learning and Online Optimization

馒头and花卷 2024-07-16 09:27 阅读:53 评论:0 推荐:0 编辑

User Behavior Simulation with Large Language Model based Agents

馒头and花卷 2024-07-03 16:19 阅读:74 评论:0 推荐:0 编辑

Understanding Convolution on Graphs via Energies

馒头and花卷 2024-06-19 17:11 阅读:104 评论:0 推荐:0 编辑

Visual Instruction Tuning

馒头and花卷 2024-06-14 11:34 阅读:23 评论:0 推荐:0 编辑

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

馒头and花卷 2024-06-12 20:31 阅读:44 评论:0 推荐:0 编辑

HiPPO: Recurrent Memory with Optimal Polynomial Projections

馒头and花卷 2024-06-05 21:01 阅读:496 评论:2 推荐:2 编辑

Towards Universal Sequence Representation Learning for Recommender Systems

馒头and花卷 2024-05-28 16:46 阅读:54 评论:0 推荐:0 编辑

Outrageously Large Neural Networks The Sparsely-Gated Mixture-of-Experts Layer

馒头and花卷 2024-05-10 10:21 阅读:27 评论:0 推荐:0 编辑

A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms

馒头and花卷 2024-05-07 10:43 阅读:44 评论:0 推荐:0 编辑

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

馒头and花卷 2024-04-02 16:27 阅读:93 评论:0 推荐:0 编辑