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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Adversarially Robust Imitation Learning CoRL 2021 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition AAAI 2021 Adversarial Neuron Pruning Purifies Backdoored Deep Models NeurIPS 2021 Adversarial Policy Learning in Two-player Competitive Games ICML 2021 Adversarial Purification with Score-based Generative Models ICML 2021 Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Robustness with Non-uniform Perturbations NeurIPS 2021 Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach NeurIPS 2021 Adversarial Robustness with Semi-Infinite Constrained Learning NeurIPS 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021 Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021 Adversarial Turing Patterns from Cellular Automata AAAI 2021 Adversarial Voice Conversion Against Neural Spoofing Detectors Interspeech 2021 Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models ICCV 2021 Adv-OLM: Generating Textual Adversaries via OLM EACL 2021 AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER ACL 2021 AdvRush: Searching for Adversarially Robust Neural Architectures ICCV 2021 AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles CVPR 2021 AESOP: Abstract Encoding of Stories, Objects, and Pictures ICCV 2021