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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)

A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information ACML 2024 Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics IJCAI 2024 Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NeurIPS 2024 Are You Serious? Handling Disagreement When Annotating Conspiracy Theory Texts EACL 2024 Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets EMNLP 2024 ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models CVPR 2024 Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques ACL 2024 Argument Relation Classification through Discourse Markers and Adversarial Training EMNLP 2024 ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews ACL 2024 Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning AAAI 2024 ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling ACL 2024 ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs EMNLP 2024 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ICLR 2024 Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection WACV 2024 ARNIQA: Learning Distortion Manifold for Image Quality Assessment WACV 2024 AR-NLU: A Framework for Enhancing Natural Language Understanding Model Robustness against ASR Errors Interspeech 2024 Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls IJCAI 2024 ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NeurIPS 2024 Articulatory synthesis using representations learnt through phonetic label-aware contrastive loss Interspeech 2024 Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs ACL 2024 ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models EMNLP 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024