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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models WACV 2026
1LoRA: Summation Compression for Very Low-Rank Adaptation WACV 2026
MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding WACV 2026
Deepfake Detection that Generalizes Across Benchmarks WACV 2026
ISALux: Illumination and Semantics-Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement WACV 2026
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026
SVS-GAN for Semantic Synthesis of Traffic Videos for Autonomous Driving WACV 2026
From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation WACV 2026
One-shot Portrait Stylizaiton via Geometric Alignment WACV 2026
Decoupling Shape and Texture in SAM-2 via Controlled Texture Replacement WACV 2026
Memoire: Learning User Personas from Gallery Tags for Personalized Photo Curation WACV 2026
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training WACV 2026
Test Time Adaptation Using Adaptive Quantile Recalibration WACV 2026
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding WACV 2026
MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI WACV 2026
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026
Rethinking Latent Variable in Learned Image Compression WACV 2026
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026
MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026
HistoMILKD: A Multiple Instance Learning based Multi-Teacher Knowledge Distillation Framework for Whole Slide Image Classification WACV 2026
Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection WACV 2026
Guided Texture Segmentation via Coordinate-Aware Class-Ratio Mapping WACV 2026
SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026
Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching WACV 2026
Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release WACV 2026