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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation CVPR 2025 ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025 ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior ICML 2025 ART: Adaptive Relation Tuning for Generalized Relation Prediction ICCV 2025 ArtEditor: Learning Customized Instructional Image Editor from Few-Shot Examples ICCV 2025 ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage WACV 2025 ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025 ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract) AAAI 2025 ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting CVPR 2025 Artificial Relationships in Fiction: A Dataset for Advancing NLP in Literary Domains NAACL 2025 AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning ICCV 2025 A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models IJCNLP 2025 ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy ICCV 2025 AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds AAAI 2025 As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025 A Second-Order Perspective on Model Compositionality and Incremental Learning ICLR 2025 A Self-Denoising Model for Robust Few-Shot Relation Extraction ACL 2025 A Self-Training Approach for Whisper to Enhance Long Dysarthric Speech Recognition Interspeech 2025 A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025 A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation CVPR 2025 A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation ACL 2025 A Semi-supervised Scalable Unified Framework for E-commerce Query Classification ACL 2025 A Sequential Multi-Stage Approach for Code Vulnerability Detection via Confidence- and Collaboration-based Decision Making EMNLP 2025 A Shapley-value Guided Rationale Editor for Rationale Learning AISTATS 2025 A Shared Low-Rank Adaptation Approach to Personalized RLHF AISTATS 2025