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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Whisper Encoder features for Infant Cry Classification Interspeech 2023 WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings ACL 2023 Who needs context? Classical techniques for Alzheimer’s disease detection ACL 2023 Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification EMNLP 2023 Why (and When) does Local SGD Generalize Better than SGD? ICLR 2023 Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023 WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding CVPR 2023 Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance AAAI 2023 WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models ACL 2023 WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task EMNLP 2023 Won’t Get Fooled Again: Answering Questions with False Premises ACL 2023 WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction ACL 2023 Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding ACL 2023 xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark EMNLP 2023 XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information NeurIPS 2023 Xiaoicesing 2: A High-Fidelity Singing Voice Synthesizer Based on Generative Adversarial Network Interspeech 2023 XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into words EMNLP 2023 XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023 XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images ICCV 2023 xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages ACL 2023 XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding ACL 2023 YANMTT: Yet Another Neural Machine Translation Toolkit ACL 2023 YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification ACL 2023 YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors CVPR 2023