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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)

BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Byte-Level Massively Multilingual Semantic Parsing EMNLP 2022 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 C2SLR: Consistency-Enhanced Continuous Sign Language Recognition CVPR 2022 C3-STISR: Scene Text Image Super-resolution with Triple Clues IJCAI 2022 C5L7: A Zero-Shot Algorithm for Intent and Slot Detection in Multilingual Task Oriented Languages EMNLP 2022 CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification CVPR 2022 CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals ICLR 2022 CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism CVPR 2022 Calibrating Student Models for Emotion-related Tasks EMNLP 2022 Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge AAAI 2022 CALM: Constrastive Cross-modal Speaking Style Modeling for Expressive Text-to-Speech Synthesis Interspeech 2022 CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation CVPR 2022 CamPros at CASE 2022 Task 1: Transformer-based Multilingual Protest News Detection EMNLP 2022 Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models ACL 2022 Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation EMNLP 2022 Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? EMNLP 2022 Can language models learn from explanations in context? EMNLP 2022 Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding AAAI 2022 Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions? ACL 2022 Can Semantic Labels Assist Self-Supervised Visual Representation Learning? AAAI 2022 Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation ACL 2022 Can Vision Transformers Learn without Natural Images? AAAI 2022 Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge ACL 2022