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

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Papers (including subtopics)

Large Dual Encoders Are Generalizable Retrievers EMNLP 2022 Large language models are few-shot clinical information extractors EMNLP 2022 Large Language Models are Zero-Shot Reasoners NeurIPS 2022 Large Language Models Can Be Strong Differentially Private Learners ICLR 2022 LARGE: Latent-Based Regression Through GAN Semantics CVPR 2022 Large-Scale Differentially Private BERT EMNLP 2022 Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) AAAI 2022 Large-scale Machine Translation for Indian Languages in E-commerce under Low Resource Constraints EMNLP 2022 Large-Scale Pre-Training for Person Re-Identification With Noisy Labels CVPR 2022 LASER: LAtent SpacE Rendering for 2D Visual Localization CVPR 2022 LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery NeurIPS 2022 Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022 LaTr: Layout-Aware Transformer for Scene-Text VQA CVPR 2022 L-CoDe:Language-Based Colorization Using Color-Object Decoupled Conditions AAAI 2022 LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization AAAI 2022 LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition CVPR 2022 LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide ACL 2022 Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples ACL 2022 Learn From Others and Be Yourself in Heterogeneous Federated Learning CVPR 2022 Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning AAAI 2022 Learning 3D Object Shape and Layout Without 3D Supervision CVPR 2022 Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision CVPR 2022 Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning NeurIPS 2022 Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task EMNLP 2022 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022