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 Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
EMNLP 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
AAAI 2021
Towards Emotional Support Dialog Systems
ACL 2021
Towards Evaluating and Training Verifiably Robust Neural Networks
CVPR 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract)
AAAI 2021
Towards Fair and Transparent Algorithmic Systems
IJCAI 2021
Towards Fair, Equitable, and Efficient Peer Review
AAAI 2021
Towards Feature Space Adversarial Attack by Style Perturbation
AAAI 2021
Towards Human-Centered Summarization: A Case Study on Financial News
EACL 2021
Towards Hybrid Human-Machine Workflow for Natural Language Generation
EACL 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
NeurIPS 2021
Towards Improving Adversarial Training of NLP Models
EMNLP 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
CVPR 2021
Towards Interpretable Deep Metric Learning With Structural Matching
ICCV 2021
Towards Interpretable Deep Networks for Monocular Depth Estimation
ICCV 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
NAACL 2021
Towards Long-Form Video Understanding
CVPR 2021
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
EMNLP 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NeurIPS 2021
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark
CVPR 2021
Towards Multi-Grained Explainability for Graph Neural Networks
NeurIPS 2021
Towards Multi-Modal Text-Image Retrieval to improve Human Reading
NAACL 2021
Towards Multi-Scale Style Control for Expressive Speech Synthesis
Interspeech 2021
Towards Navigation by Reasoning over Spatial Configurations
ACL 2021
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
ICLR 2021