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)

Entity Tracking in Language Models ACL 2023 Entropy-driven Unsupervised Keypoint Representation Learning in Videos ICML 2023 Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks ACL 2023 Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation ACL 2023 EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning CVPR 2023 EquiMod: An Equivariance Module to Improve Visual Instance Discrimination ICLR 2023 Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023 Equivariance with Learned Canonicalization Functions ICML 2023 Equivariant Adaptation of Large Pretrained Models NeurIPS 2023 Equivariant Representation Learning via Class-Pose Decomposition AISTATS 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages ACL 2023 ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain ACL 2023 ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning AAAI 2023 ESPVR: Entity Spans Position Visual Regions for Multimodal Named Entity Recognition EMNLP 2023 Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning AAAI 2023 Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023 Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs EMNLP 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023 Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023 Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces CVPR 2023 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale CVPR 2023 EVAL: Explainable Video Anomaly Localization CVPR 2023 Evaluate AMR Graph Similarity via Self-supervised Learning ACL 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023