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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)

PaCo: Parameter-Compositional Multi-task Reinforcement Learning NeurIPS 2022 PaCo: Preconditions Attributed to Commonsense Knowledge EMNLP 2022 PAC Top-k Identification under SST in Limited Rounds AISTATS 2022 PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation COLING 2022 PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022 PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion SemEval 2022 PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions AAAI 2022 Pairwise Supervision Can Provably Elicit a Decision Boundary AISTATS 2022 PALI at SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts SemEval 2022 Palm up: Playing in the Latent Manifold for Unsupervised Pretraining NeurIPS 2022 PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022 Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation COLING 2022 Papago’s Submission to the WMT22 Quality Estimation Shared Task EMNLP 2022 PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning SemEval 2022 ParaDetox: Detoxification with Parallel Data ACL 2022 PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining NAACL 2022 ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms EMNLP 2022 Parameter-Efficient Abstractive Question Answering over Tables or Text ACL 2022 Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System NAACL 2022 Parameter-Efficient Legal Domain Adaptation EMNLP 2022 Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval COLING 2022 Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection EMNLP 2022 Parameter-free Mirror Descent COLT 2022 Parametrically Retargetable Decision-Makers Tend To Seek Power NeurIPS 2022