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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)

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features From Multi-Modal Embeddings WACV 2021 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021 A weaker faithfulness assumption based on triple interactions UAI 2021 A Web Scale Entity Extraction System EMNLP 2021 A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness NeurIPS 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others NeurIPS 2021 Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021 Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning EMNLP 2021 Backdoor Attack with Imperceptible Input and Latent Modification NeurIPS 2021 Backdoor DNFs IJCAI 2021 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021 Backdoor Scanning for Deep Neural Networks through K-Arm Optimization ICML 2021 Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema EMNLP 2021 Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification MLHC 2021 Backtranslation Feedback Improves User Confidence in MT, Not Quality NAACL 2021 BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation ACL 2021 Bad Seeds: Evaluating Lexical Methods for Bias Measurement ACL 2021 Banach Space Representer Theorems for Neural Networks and Ridge Splines JMLR 2021 Bandit Learning with Delayed Impact of Actions NeurIPS 2021 Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021 BASAR:Black-Box Attack on Skeletal Action Recognition CVPR 2021 BASE Layers: Simplifying Training of Large, Sparse Models ICML 2021 Batch Reinforcement Learning Through Continuation Method ICLR 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021