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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)

Can we teach language models to gloss endangered languages? EMNLP 2024 Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024 Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? Interspeech 2024 Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders ACL 2024 CAP: A Context-Aware Neural Predictor for NAS IJCAI 2024 Capturing the denoising effect of PCA via compression ratio NeurIPS 2024 Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings EACL 2024 CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition AAAI 2024 Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents OSDI 2024 Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024 Cardinality-Aware Set Prediction and Top-k Classification NeurIPS 2024 CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes NeurIPS 2024 CARE: A Clue-guided Assistant for CSRs to Read User Manuals ACL 2024 CareCorpus: A Corpus of Real-World Solution-Focused Caregiver Strategies for Personalized Pediatric Rehabilitation Service Design COLING 2024 CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation EMNLP 2024 CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024 CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024 CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation SemEval 2024 CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning AAAI 2024 Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models NAACL 2024 Carrot and Stick: Eliciting Comparison Data and Beyond NeurIPS 2024 Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning CVPR 2024 CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification CVPR 2024 Cascade of phase transitions in the training of energy-based models NeurIPS 2024 Cascading Reinforcement Learning ICLR 2024