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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)

How Lexical is Bilingual Lexicon Induction? NAACL 2024 How many classifiers do we need? NeurIPS 2024 How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? ICLR 2024 How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval NeurIPS 2024 How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs? EMNLP 2024 How Should We Extract Discrete Audio Tokens from Self-Supervised Models? Interspeech 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 How to Configure Good In-Context Sequence for Visual Question Answering CVPR 2024 How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? NeurIPS 2024 How to Do Politics with Words: Investigating Speech Acts in Parliamentary Debates COLING 2024 How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection AAAI 2024 How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks UAI 2024 How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024 How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective EMNLP 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 How to Train Neural Field Representations: A Comprehensive Study and Benchmark CVPR 2024 How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024 How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction ACL 2024 How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? ACL 2024 How Vocabulary Sharing Facilitates Multilingualism in LLaMA? ACL 2024 HQP: A Human-Annotated Dataset for Detecting Online Propaganda ACL 2024 HRP: Human affordances for Robotic Pre-training RSS 2024 HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation AAAI 2024 HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering COLING 2024 HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? SemEval 2024