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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)

De-biased Attention Supervision for Text Classification with Causality AAAI 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing ICLR 2024 Debiased Novel Category Discovering and Localization AAAI 2024 Debiasing, Calibrating, and Improving Semi-Supervised Learning Performance via Simple Ensemble Projector WACV 2024 Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations ACL 2024 Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble EMNLP 2024 DebugBench: Evaluating Debugging Capability of Large Language Models ACL 2024 Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024 Decentralized Online Learning in General-Sum Stackelberg Games UAI 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Decentralized Two-Sided Bandit Learning in Matching Market UAI 2024 Deceptive Fairness Attacks on Graphs via Meta Learning ICLR 2024 Deciphering Assamese Vowel Harmony with Featural InfoWaveGAN Interspeech 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024 Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies COLING 2024 Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees AAAI 2024 Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning EMNLP 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Deciphering the Projection Head: Representation Evaluation Self-supervised Learning IJCAI 2024 Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024