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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'20

'25

Papers (including subtopics)

Adversarial Alignment for Source Free Object Detection AAAI 2023 Adversarial Counterfactual Visual Explanations CVPR 2023 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023 Adversarial Imitation Learning with Preferences ICLR 2023 Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023 Adversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech Interspeech 2023 Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation CVPR 2023 Adversarial Multi-task Learning for End-to-end Metaphor Detection ACL 2023 Adversarial Parameter Attack on Deep Neural Networks ICML 2023 Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness AAAI 2023 Adversarial Robustness via Random Projection Filters CVPR 2023 Adversarial Self-Attention for Language Understanding AAAI 2023 Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation NeurIPS 2023 Adversarial Text Generation by Search and Learning EMNLP 2023 Adversarial Textual Robustness on Visual Dialog ACL 2023 Adversarial Training for Low-Resource Disfluency Correction ACL 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023 Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime AAAI 2023 AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation AAAI 2023 Aesthetically Relevant Image Captioning AAAI 2023 A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations ACL 2023 A fine-grained comparison of pragmatic language understanding in humans and language models ACL 2023 A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet ICLR 2023 A Framework for Bidirectional Decoding: Case Study in Morphological Inflection EMNLP 2023 A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models EMNLP 2023