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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)

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2024 Compositional Generalization Across Distributional Shifts with Sparse Tree Operations NeurIPS 2024 Compositional Structured Explanation Generation with Dynamic Modularized Reasoning NAACL 2024 Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024 Computational Analysis of Dehumanization of Ukrainians on Russian Social Media EACL 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Computerized Adaptive Testing via Collaborative Ranking NeurIPS 2024 Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification NeurIPS 2024 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection IJCAI 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis NAACL 2024 Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024 Conditional and Modal Reasoning in Large Language Models EMNLP 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Conditional Information Bottleneck Approach for Time Series Imputation ICLR 2024 Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ICLR 2024 Conditional Synthesis of 3D Molecules with Time Correction Sampler NeurIPS 2024 Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024 Confidence-aware Hypothesis Transfer Networks for Source-Free Cross-Corpus Speech Emotion Recognition Interspeech 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024