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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)

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation EMNLP 2024 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024 Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving CVPR 2024 Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024 Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents NAACL 2024 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Adversarial Feature Map Pruning for Backdoor ICLR 2024 Adversarial Imitation Learning via Boosting ICLR 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024 Adversarial Math Word Problem Generation EMNLP 2024 Adversarial Moment-Matching Distillation of Large Language Models NeurIPS 2024 Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models NeurIPS 2024 Adversarial Robustification via Text-to-Image Diffusion Models ECCV 2024 Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies ICML 2024 Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024 Adversarial Text to Continuous Image Generation CVPR 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024 Adversarial Training Should Be Cast as a Non-Zero-Sum Game ICLR 2024 A Dynamical View of the Question of Why ICLR 2024 A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning AAAI 2024 Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering EMNLP 2024 AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis AAAI 2024 Aequitas Flow: Streamlining Fair ML Experimentation JMLR 2024