Tags

Scaling Laws for Online Advertisement Retrieval

快手, 广告场景下的 Scaling Laws

EMR-MERGING: Tuning-Free High-Performance Model Merging

EMR-MERGING, 多任务权重合并技术

OneRec: Unifying Retrieve and Rank with Generative Recommender and Preference Alignment

OneRec, 端到端的推荐模型

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou

QARM, 多模态推荐对齐与量化

Language Representations Can be What Recommenders Need: Findings and Potentials

Next-token embedding 之于协同过滤

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

ReaRec, 多步序列推荐推理

Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

探究 LLM 如何记忆和提取知识的实验性文章

A Self-Attentive Model for Knowledge Tracing

SAKT, 自注意力知识追踪

ECNU 生存指北

ECNU

Dynamic Key-Value Memory Networks for Knowledge Tracing

DKVMN, 带记忆结构的知识追踪

Meta-Learning with Memory-Augmented Neural Networks

MANN, 外置记忆模块

Deep Knowledge Tracing

DKT, 知识追踪

Unifying Generative and Dense Retrieval for Sequential Recommendation

LIGER, 生成式检索的冷启动缺陷与解决方案

Collaborative Alignment for Recommendation

CARec, ID-Textual 特征对齐

Multimodal Pre-training for Sequential Recommendation via Contrastive Learning

MP4SR, 模态融合之于多模态协同过滤

Vector Quantization

SOLO

Autoregressive Image Generation using Residual Quantization

RQ-VAE, 残差向量量化

Recommender Systems with Generative Retrieval

TIGER, 向量量化生成式检索

中研春招聘小记

找工作

Finite Scalar Quantization: VQ-VAE Made Simple

FSQ, 标量量化

Taming Transformers for High-Resolution Image Synthesis

VQGAN, 自回归式的图片生成

Neural Discrete Representation Learning

VQ-VAE, 向量量化的开山之作

Git

Git 的基本操作

Lightweight Optimizers

Multimodal Collaborative Filtering

Network Quantization

Recommendation Foundation Model

Spectral Graph Neural Networks

Zero-shot Composed Image Retrieval