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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)

Iterate Averaging in the Quest for Best Test Error JMLR 2024 Iterated Learning Improves Compositionality in Large Vision-Language Models CVPR 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition Interspeech 2024 It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension ACL 2024 It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance ACL 2024 It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction NAACL 2024 IUST-NLPLAB at SemEval-2024 Task 9: BRAINTEASER By MPNet (Sentence Puzzle) SemEval 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024 Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters NeurIPS 2024 Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models ICLR 2024 JCoLA: Japanese Corpus of Linguistic Acceptability COLING 2024 JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation CVPR 2024 Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024 Jigsaw Pieces of Meaning: Modeling Discourse Coherence with Informed Negative Sample Synthesis EACL 2024 JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models NeurIPS 2024 JL-Hate: An Annotated Dataset for Joint Learning of Hate Speech and Target Detection COLING 2024 JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models SemEval 2024 JOADAA: Joint Online Action Detection and Action Anticipation WACV 2024 JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models CVPR 2024 JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models EMNLP 2024 Joint Demosaicing and Denoising for Spike Camera AAAI 2024 Joint Domain Adaptive Graph Convolutional Network IJCAI 2024 Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024