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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)

An Extensive Exploration of Back-Translation in 60 Languages ACL 2023 An Image Quality Assessment Dataset for Portraits CVPR 2023 An Inductive Bias for Tabular Deep Learning NeurIPS 2023 An Information Theory Perspective on Variance-Invariance-Covariance Regularization NeurIPS 2023 An Investigation of Noise in Morphological Inflection ACL 2023 Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization ACL 2023 Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding EMNLP 2023 Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation NeurIPS 2023 A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving AAAI 2023 Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors AAAI 2023 Anonymization for Skeleton Action Recognition AAAI 2023 An Open Dataset and Model for Language Identification ACL 2023 A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles EMNLP 2023 A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis ACML 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 Answer-state Recurrent Relational Network (AsRRN) for Constructed Response Assessment and Feedback Grouping EMNLP 2023 An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language ACL 2023 AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis ACL 2023 A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer EMNLP 2023 A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning NeurIPS 2023 A Picture of the Space of Typical Learnable Tasks ICML 2023 APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL 2023 A Practical Stereo Depth System for Smart Glasses CVPR 2023 A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023 A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023