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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)

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 Improving Accuracy of Low-resource ASR using Rule-Based Character Constituency Loss (RBCCL) COLING 2025 Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025 Improving AI assistants embedded in short e-learning courses with limited textual content ACL 2025 Improving Aspect-Based Summarization via Contrastive Learning with Anchored Negative Examples EMNLP 2025 Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge ACL 2025 Improving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages EMNLP 2025 Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association AAAI 2025 Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions ACL 2025 Improving Clustering with Positive Pairs Generated from LLM-Driven Labels EMNLP 2025 Improving Context Fidelity via Native Retrieval-Augmented Reasoning EMNLP 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models NAACL 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025 Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study COLING 2025 Improving Equivariant Networks with Probabilistic Symmetry Breaking ICLR 2025 Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks ICLR 2025 Improving Generalization for AI-Synthesized Voice Detection AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach EMNLP 2025 Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration NAACL 2025 Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation ACL 2025 Improving Instruct Models for Free: A Study on Partial Adaptation EMNLP 2025