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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)

Re-TACRED: Addressing Shortcomings of the TACRED Dataset AAAI 2021 RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning IJCAI 2021 Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning. ICCV 2021 Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization NeurIPS 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021 Rethinking conditional GAN training: An approach using geometrically structured latent manifolds NeurIPS 2021 Rethinking Denoised Auto-Encoding in Language Pre-Training EMNLP 2021 Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding Interspeech 2021 Rethinking Graph Regularization for Graph Neural Networks AAAI 2021 Rethinking Neural Operations for Diverse Tasks NeurIPS 2021 Rethinking Object Detection in Retail Stores AAAI 2021 Rethinking Self-Supervised Correspondence Learning: A Video Frame-Level Similarity Perspective ICCV 2021 Rethinking the Objectives of Extractive Question Answering EMNLP 2021 Rethinking the Truly Unsupervised Image-to-Image Translation ICCV 2021 Rethinking Why Intermediate-Task Fine-Tuning Works EMNLP 2021 Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables EMNLP 2021 Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021 Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement CVPR 2021 [RETRACTED] DMix: Distance Constrained Interpolative Mixup EMNLP 2021 [RETRACTED] Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging EMNLP 2021 [RETRACTED] WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue ACL 2021 Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning EMNLP 2021 Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra AAAI 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots EMNLP 2021