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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)

Robust Concept Erasure via Kernelized Rate-Distortion Maximization NeurIPS 2023 Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NeurIPS 2023 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023 Robust Evaluation of Diffusion-Based Adversarial Purification ICCV 2023 Robust Explanation Constraints for Neural Networks ICLR 2023 Robust Fair Clustering: A Novel Fairness Attack and Defense Framework ICLR 2023 Robust Image Classification via Using Multiple Diversity Losses ACML 2023 Robust Image Steganography: Hiding Messages in Frequency Coefficients AAAI 2023 Robust Knowledge Transfer in Tiered Reinforcement Learning NeurIPS 2023 Robust Learning for Multi-party Addressee Recognition with Discrete Addressee Codebook ACL 2023 Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023 RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments AAAI 2023 Robust low-rank training via approximate orthonormal constraints NeurIPS 2023 Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Robust Multi-bit Natural Language Watermarking through Invariant Features ACL 2023 Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms ICLR 2023 Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding EACL 2023 Robustness in Multimodal Learning under Train-Test Modality Mismatch ICML 2023 Robustness of Named-Entity Replacements for In-Context Learning EMNLP 2023 Robustness of Trajectory Prediction Models Under Map-Based Attacks WACV 2023 Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks EMNLP 2023 Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks ICML 2023 Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023 Robust Perception through Equivariance ICML 2023