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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)

EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models AAAI 2025 EditCLIP: Representation Learning for Image Editing ICCV 2025 Editing Across Languages: A Survey of Multilingual Knowledge Editing EMNLP 2025 EdTec-ItemGen: Enhancing Retrieval-Augmented Item Generation Through Key Point Extraction ACL 2025 EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning ACL 2025 EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark CVPR 2025 EEGMirror: Leveraging EEG Data in the Wild via Montage-Agnostic Self-Supervision for EEG to Video Decoding ICCV 2025 Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization ACL 2025 Effective Backdoor Learning on Open-Set Face Recognition Systems WACV 2025 Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders AISTATS 2025 Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track ACL 2025 Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs NAACL 2025 Effective Training Data Synthesis for Improving MLLM Chart Understanding ICCV 2025 Effect of Multilingual and Domain-adapted Continual Pre-training on Few-shot Promptability ACL 2025 Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback UAI 2025 Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection ACL 2025 Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs ICML 2025 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response JMLR 2025 Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data JMLR 2025 Efficient ASR for Low-Resource Languages: Leveraging Cross-Lingual Unlabeled Data IJCNLP 2025 Efficient Biological Data Acquisition through Inference Set Design ICLR 2025 Efficient Causal Decision Making with One-sided Feedback ICLR 2025 Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function AAAI 2025 Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025