Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers
NAACL 2021
Towards a Data Analytics Pipeline for the Visualisation of Complexity Metrics in L2 writings
EACL 2021
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
EACL 2021
Towards a Methodology Supporting Semiautomatic Annotation of HeadMovements in Video-recorded Conversations
EMNLP 2021
Towards a more Robust Evaluation for Conversational Question Answering
ACL 2021
Towards an Explainer-agnostic Conversational XAI
IJCAI 2021
Towards Argument Mining for Social Good: A Survey
ACL 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
AISTATS 2021
Towards a unified framework for fair and stable graph representation learning
UAI 2021
Towards a Unifying Framework for Formal Theories of Novelty
AAAI 2021
Towards Automatic Bias Detection in Knowledge Graphs
EMNLP 2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
EMNLP 2021
Towards Automatic Speech to Sign Language Generation
Interspeech 2021
Towards Balanced Defect Prediction with Better Information Propagation
AAAI 2021
Towards Benchmarking the Utility of Explanations for Model Debugging
NAACL 2021
Towards Better Explanations of Class Activation Mapping
ICCV 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
ICML 2021
Towards Code-Mixed Hinglish Dialogue Generation
EMNLP 2021
Towards Compact CNNs via Collaborative Compression
CVPR 2021
Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation
ICCV 2021
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
AAAI 2021
Towards Contextual Learning in Few-Shot Object Classification
WACV 2021
Towards Detection and Remediation of Phonemic Confusion
ACL 2021
Towards Distraction-Robust Active Visual Tracking
ICML 2021
Towards Diverse Paragraph Captioning for Untrimmed Videos
CVPR 2021