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)

Meta-Learning Dynamics Forecasting Using Task Inference NeurIPS 2022 Meta-Learning Fast Weight Language Models EMNLP 2022 MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NeurIPS 2022 MetaMorph: Learning Universal Controllers with Transformers ICLR 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022 Meta Propagation Networks for Graph Few-shot Semi-supervised Learning AAAI 2022 Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning NeurIPS 2022 Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NeurIPS 2022 Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NeurIPS 2022 Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks NeurIPS 2022 Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection Using Meta-Learning WACV 2022 MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning NeurIPS 2022 MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding EMNLP 2022 MGNNI: Multiscale Graph Neural Networks with Implicit Layers NeurIPS 2022 MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation AAAI 2022 Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders NeurIPS 2022 MILIE: Modular & Iterative Multilingual Open Information Extraction ACL 2022 Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning CVPR 2022 Mind Reader: Reconstructing complex images from brain activities NeurIPS 2022 Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement AAAI 2022 Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning NeurIPS 2022 MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge NeurIPS 2022 Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning NeurIPS 2022 MINIMAL: Mining Models for Universal Adversarial Triggers AAAI 2022 MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning ACL 2022