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)

A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NeurIPS 2020 A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports EMNLP 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency AAAI 2020 A Joint Neural Model for Information Extraction with Global Features ACL 2020 A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal ACL 2020 A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ICLR 2020 ALBERT-BiLSTM for Sequential Metaphor Detection ACL 2020 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 Aligned Dual Channel Graph Convolutional Network for Visual Question Answering ACL 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 “A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media EMNLP 2020 Alleviation of Gradient Exploding in GANs: Fake Can Be Real CVPR 2020 All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes AACL 2020 All in One Bad Weather Removal Using Architectural Search CVPR 2020 All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection Interspeech 2020 A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation CVPR 2020 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training EMNLP 2020 Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification ACL 2020 A Mask-Based Model for Mandarin Chinese Polyphone Disambiguation Interspeech 2020 A mathematical model for automatic differentiation in machine learning NeurIPS 2020