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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)

Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models ACL 2024 Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models NeurIPS 2024 Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024 Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NeurIPS 2024 Beyond Reference: Evaluating High Quality Translations Better than Human References EMNLP 2024 Beyond Retrieval: Topic-based Alignment of Scientific Papers to Research Proposal ACL 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning CVPR 2024 Beyond Sentence-level Text Simplification: Reproducibility Study of Context-Aware Document Simplification COLING 2024 Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction ACL 2024 Beyond Slow Signs in High-fidelity Model Extraction NeurIPS 2024 Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models ICML 2024 Beyond task diversity: provable representation transfer for sequential multitask linear bandits NeurIPS 2024 Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis ACL 2024 Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples CVPR 2024 Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024 Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation AAAI 2024 Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards EMNLP 2024 Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation ACL 2024 Beyond Words: Decoding Facial Expression Dynamics in Motivational Interviewing COLING 2024 Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels NAACL 2024 Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning ICML 2024 Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video AAAI 2024 Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NeurIPS 2024 Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation ACL 2024