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

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

'15

'20

'25

Papers (including subtopics)

MABEL: Attenuating Gender Bias using Textual Entailment Data EMNLP 2022 MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields NeurIPS 2022 Machine Translation Robustness to Natural Asemantic Variation EMNLP 2022 MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching NeurIPS 2022 MAD: A Scalable Dataset for Language Grounding in Videos From Movie Audio Descriptions CVPR 2022 MAESTRO: Matched Speech Text Representations through Modality Matching Interspeech 2022 Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis NeurIPS 2022 Make Some Noise: Reliable and Efficient Single-Step Adversarial Training NeurIPS 2022 Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022 Making Pretrained Language Models Good Long-tailed Learners EMNLP 2022 MAML is a Noisy Contrastive Learner in Classification ICLR 2022 Manifold Learning Benefits GANs CVPR 2022 Manifold’s English-Chinese System at WMT22 General MT Task EMNLP 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Many-to-Many Splatting for Efficient Video Frame Interpolation CVPR 2022 Marginal Contrastive Correspondence for Guided Image Generation CVPR 2022 Margin Calibration for Long-Tailed Visual Recognition ACML 2022 Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 Masked Autoencoders Are Scalable Vision Learners CVPR 2022 Masked Autoencoders As Spatiotemporal Learners NeurIPS 2022 Masked Autoencoders that Listen NeurIPS 2022 Masked Autoencoding for Scalable and Generalizable Decision Making NeurIPS 2022 Masked Feature Prediction for Self-Supervised Visual Pre-Training CVPR 2022 Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering EMNLP 2022 Masked Prediction: A Parameter Identifiability View NeurIPS 2022