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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)

Textgraphs-15 Shared Task System Description : Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings NAACL 2021 TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation IJCAI 2021 TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition ACL 2021 Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations ACL 2021 The Acceptability Delta Criterion: Testing Knowledge of Language using the Gradience of Sentence Acceptability EMNLP 2021 The Active Sensing Testbed AAAI 2021 The Animation Transformer: Visual Correspondence via Segment Matching ICCV 2021 The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention ICCV 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NeurIPS 2021 The Blessings of Unlabeled Background in Untrimmed Videos CVPR 2021 The Boombox: Visual Reconstruction from Acoustic Vibrations CoRL 2021 The Contour to Classification Game AAAI 2021 The Corpora They Are a-Changing: a Case Study in Italian Newspapers ACL 2021 The CSTR System for Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages Interspeech 2021 The curious case of adversarially robust models: More data can help, double descend, or hurt generalization UAI 2021 The diffusion of scientific terms – tracing individuals’ influence in the history of science for English EMNLP 2021 The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding EMNLP 2021 The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation EACL 2021 The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning EMNLP 2021 The Emergence of Individuality ICML 2021 The Emergence of Objectness: Learning Zero-shot Segmentation from Videos NeurIPS 2021 The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results EMNLP 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NeurIPS 2021 The Fujitsu DMATH Submissions for WMT21 News Translation and Biomedical Translation Tasks EMNLP 2021