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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
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'25
Papers (including subtopics)
Certified Adversarial Robustness Under the Bounded Support Set
ICML 2022
Certified Patch Robustness via Smoothed Vision Transformers
CVPR 2022
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
IJCAI 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
NeurIPS 2022
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction
COLING 2022
CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue
COLING 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
IJCAI 2022
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
EMNLP 2022
Challenges to Open-Domain Constituency Parsing
ACL 2022
Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery
NeurIPS 2022
Character-centric Story Visualization via Visual Planning and Token Alignment
EMNLP 2022
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling
AACL 2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
ICML 2022
Characterizing Datapoints via Second-Split Forgetting
NeurIPS 2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
EMNLP 2022
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
ICLR 2022
Chemical-Reaction-Aware Molecule Representation Learning
ICLR 2022
Chitransformer: Towards Reliable Stereo From Cues
CVPR 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
NeurIPS 2022
Chunk-based Nearest Neighbor Machine Translation
EMNLP 2022
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation
COLING 2022
CILS at TSAR-2022 Shared Task: Investigating the Applicability of Lexical Substitution Methods for Lexical Simplification
EMNLP 2022
CISLR: Corpus for Indian Sign Language Recognition
EMNLP 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation
NeurIPS 2022
Class-Aware Contrastive Semi-Supervised Learning
CVPR 2022