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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)

Mitigating Spurious Correlations in Text Classification Using Latent Space Geometry ACL 2026 Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing UAI 2026 Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits? UAI 2026 MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction WACV 2026 MMhops-R1: Multimodal Multi-hop Reasoning AAAI 2026 mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing AAAI 2026 MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation AAAI 2026 MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data WACV 2026 Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval AAAI 2026 Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification AAAI 2026 Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift UAI 2026 Model-Based Reinforcement Learning under Random Observation Delays L4DC 2026 Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives ACL 2026 Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem ACL 2026 Modeling Turn-Taking with Semantically Informed Gestures EACL 2026 Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space UAI 2026 ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation ACL 2026 Modulating Multi-Label Tendency in Zero-Shot LLM Coding: The Effect of Output Structure on CDSS Feedback Analysis EACL 2026 Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition AAAI 2026 ModusPonens at SemEval-2026 Task 11: Breaking the Plausibility Trap in LLMs via Conflict-Aware Ensembling SemEval 2026 MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026 MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026 MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning AAAI 2026 MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning AAAI 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026