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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)

Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning EMNLP 2025 Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting IJCAI 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Learning to Generalize without Bias for Open-Vocabulary Action Recognition ICCV 2025 Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels ICLR 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning WACV 2025 Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025 Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention ACL 2025 Learning to Manipulate Under Limited Information AAAI 2025 Learning to Reason from Feedback at Test-Time ACL 2025 Learning to Reason via Self-Iterative Process Feedback for Small Language Models COLING 2025 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 Learning to Rewrite: Generalized LLM-Generated Text Detection ACL 2025 Learning to Rewrite Negation Queries in Product Search COLING 2025 Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025 Learning to Search from Demonstration Sequences ICLR 2025 Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry ICCV 2025 Learning to Select In-Context Demonstration Preferred by Large Language Model ACL 2025 Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise UAI 2025 Learning to Steer Markovian Agents under Model Uncertainty ICLR 2025 Learning to Summarize from LLM-generated Feedback NAACL 2025 Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits EMNLP 2025