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

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Papers (including subtopics)

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers ACL 2022 Revisiting Weakly Supervised Pre-Training of Visual Perception Models CVPR 2022 Revisit Systematic Generalization via Meaningful Learning EMNLP 2022 Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation ACL 2022 RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction ACL 2022 RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion CVPR 2022 RGB-Depth Fusion GAN for Indoor Depth Completion CVPR 2022 Rich Feature Construction for the Optimization-Generalization Dilemma ICML 2022 Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence EMNLP 2022 RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior CVPR 2022 RL with KL penalties is better viewed as Bayesian inference EMNLP 2022 RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes CVPR 2022 RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering ACL 2022 RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization CVPR 2022 RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks NeurIPS 2022 Robust Action Gap Increasing with Clipped Advantage Learning AAAI 2022 Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay AAAI 2022 Robust Cross-Modal Representation Learning With Progressive Self-Distillation CVPR 2022 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models EMNLP 2022 Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements CVPR 2022 Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ICML 2022 Robust Graph-Based Multi-View Clustering AAAI 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Robust High-Resolution Video Matting With Temporal Guidance WACV 2022