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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

A Minimalist Approach to Offline Reinforcement Learning NeurIPS 2021 AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT ACL 2021 A multilabel approach to morphosyntactic probing EMNLP 2021 A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19 EMNLP 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NeurIPS 2021 Analogy Training Multilingual Encoders AAAI 2021 Analyzing BERT’s Knowledge of Hypernymy via Prompting EMNLP 2021 Analyzing Deep Neural Network's Transferability via Frechet Distance WACV 2021 Analyzing Games with a Variable Number of Players AAAI 2021 Analyzing the Surprising Variability in Word Embedding Stability Across Languages EMNLP 2021 An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog EMNLP 2021 Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task EMNLP 2021 An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech Interspeech 2021 Anchor-based Bilingual Word Embeddings for Low-Resource Languages ACL 2021 AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses AAAI 2021 An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation EMNLP 2021 An Empirical Study of Training Self-Supervised Vision Transformers ICCV 2021 An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter ACL 2021 An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021 A Neural Graph-based Local Coherence Model EMNLP 2021 A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization ACL 2021 A New Representation for Span-based CCG Parsing EMNLP 2021 An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021 An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers ACL 2021 Animating Pictures With Eulerian Motion Fields CVPR 2021