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Kuaishou Tech
Kuaishou Tech
Apr 23, 2025 · Artificial Intelligence

Kuaishou's Accepted Papers at ICLR 2025 and Their Summaries

The article highlights Kuashou's eleven high‑quality papers accepted at ICLR 2025, covering advances in streaming video understanding, 3D trajectory control, multimodal talking‑face animation, transformer indexing, efficient video generation, industrial recommendation datasets, token gradient conflict in MoE, stable segmentation, multi‑camera video synthesis, large‑scale multimodal instruction tuning, and hallucination detection in retrieval‑augmented generation.

AIResearchDeepLearningICLR2025
0 likes · 20 min read
Kuaishou's Accepted Papers at ICLR 2025 and Their Summaries
Meituan Technology Team
Meituan Technology Team
Nov 9, 2023 · Artificial Intelligence

Deep Contextual Interest Network (DCIN) for CTR Prediction

This article introduces the Deep Contextual Interest Network (DCIN), a novel CTR prediction model that jointly models clicked items, surrounding display context, and position bias through three modules—PCAM, FCFM, and IMM—showing significant offline AUC gains and a 1.5% online CTR improvement.

ABTestingCTRContextualModeling
0 likes · 22 min read
Deep Contextual Interest Network (DCIN) for CTR Prediction
DataFunSummit
DataFunSummit
Feb 11, 2023 · Artificial Intelligence

FiBiNET and FiBiNET++: Feature Importance and Bilinear Interaction for Click‑Through Rate Prediction

The article introduces FiBiNET, a CTR prediction model that incorporates a SENet module for dynamic feature‑importance learning and a bilinear‑interaction layer for enhanced second‑order feature interactions, then details its improved variant FiBiNET++ which reduces parameters with Bi‑Linear+ and an enhanced SENet+.

BilinearInteractionCTRDeepLearning
0 likes · 8 min read
FiBiNET and FiBiNET++: Feature Importance and Bilinear Interaction for Click‑Through Rate Prediction
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 26, 2018 · Artificial Intelligence

How Alibaba’s DeepInsight Platform Transforms Deep Learning Model Debugging

DeepInsight, Alibaba’s deep‑learning quality platform, centralizes training data, visualizes intermediate metrics, and offers advanced debugging tools—including a revamped TensorBoard+, TensorViewer log management, enhanced evaluation metrics, and research‑driven insights—helping engineers pinpoint model issues and accelerate optimization in complex AI workflows.

AIPlatformDataVisualizationDeepLearning
0 likes · 9 min read
How Alibaba’s DeepInsight Platform Transforms Deep Learning Model Debugging