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)
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
AAAI 2021
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization
UAI 2021
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference
EMNLP 2021
Improving VAEs' Robustness to Adversarial Attack
ICLR 2021
Improving Video Captioning With Temporal Composition of a Visual-Syntactic Embedding
WACV 2021
IMU-Assisted Learning of Single-View Rolling Shutter Correction
CoRL 2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences
ICML 2021
Incentivizing Compliance with Algorithmic Instruments
ICML 2021
Incentivizing Truthfulness Through Audits in Strategic Classification
AAAI 2021
Including Signed Languages in Natural Language Processing
ACL 2021
Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection
EMNLP 2021
Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation
UAI 2021
Incorporating Circumstances into Narrative Event Prediction
EMNLP 2021
Incorporating Queueing Dynamics into Schedule-Driven Traffic Control
IJCAI 2021
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
EMNLP 2021
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
ACL 2021
Increasing Iterate Averaging for Solving Saddle-Point Problems
AAAI 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples
EACL 2021
Indecision Modeling
AAAI 2021
In Defense of Scene Graphs for Image Captioning
ICCV 2021
Independent mechanism analysis, a new concept?
NeurIPS 2021
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
EMNLP 2021
IndoNLI: A Natural Language Inference Dataset for Indonesian
EMNLP 2021
Indoor Lighting Estimation Using an Event Camera
CVPR 2021
Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
EMNLP 2021