Skip to content
conftrace_

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)

The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021 The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task EMNLP 2021 The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 EMNLP 2021 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021 The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color EMNLP 2021 The Zero Resource Speech Challenge 2021: Spoken Language Modelling Interspeech 2021 Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk EMNLP 2021 Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers CVPR 2021 Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations CVPR 2021 Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation CVPR 2021 TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling EMNLP 2021 TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems ACL 2021 Time Adaptive Recurrent Neural Network CVPR 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Time Series Anomaly Detection with Multiresolution Ensemble Decoding AAAI 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment AAAI 2021 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NeurIPS 2021 To be Closer: Learning to Link up Aspects with Opinions EMNLP 2021 To Choose or to Fuse? Scale Selection for Crowd Counting AAAI 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021 Token-Aware Virtual Adversarial Training in Natural Language Understanding AAAI 2021 Token-Level Supervised Contrastive Learning for Punctuation Restoration Interspeech 2021 Tokens-to-Token ViT: Training Vision Transformers From Scratch on ImageNet ICCV 2021 Token-wise Curriculum Learning for Neural Machine Translation EMNLP 2021