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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)

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering NAACL 2021 IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English EACL 2021 IIITT at CASE 2021 Task 1: Leveraging Pretrained Language Models for Multilingual Protest Detection ACL 2021 IIRC: Incremental Implicitly-Refined Classification CVPR 2021 IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection SemEval 2021 IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task SemEval 2021 IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B) NAACL 2021 Illinois Japanese ↔ English News Translation for WMT 2021 EMNLP 2021 Im2Vec: Synthesizing Vector Graphics Without Vector Supervision CVPR 2021 Image Change Captioning by Learning From an Auxiliary Task CVPR 2021 Image De-Raining via Continual Learning CVPR 2021 Image Synthesis From Layout With Locality-Aware Mask Adaption ICCV 2021 iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis CVPR 2021 Imitation by Predicting Observations ICML 2021 Implicit Generative Copulas NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NeurIPS 2021 Implicit Regularization in Matrix Sensing via Mirror Descent NeurIPS 2021 Implicit Regularization in ReLU Networks with the Square Loss COLT 2021 Implicit Semantic Response Alignment for Partial Domain Adaptation NeurIPS 2021 Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation NeurIPS 2021 Importance Estimation from Multiple Perspectives for Keyphrase Extraction EMNLP 2021 Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning CoNLL 2021 Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications COLT 2021 Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021 Impression learning: Online representation learning with synaptic plasticity NeurIPS 2021