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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video ICCV 2023 HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising CVPR 2023 Householder Projector for Unsupervised Latent Semantics Discovery ICCV 2023 How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception NeurIPS 2023 How About Kind of Generating Hedges using End-to-End Neural Models? ACL 2023 How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023 “How Can I Code A.I. Responsibly?”: The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I. AAAI 2023 How ChatGPT is Robust for Spoken Language Understanding? Interspeech 2023 How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model NeurIPS 2023 How does the brain process syntactic structure while listening? ACL 2023 How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks ACL 2023 How Do In-Context Examples Affect Compositional Generalization? ACL 2023 How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding ICML 2023 How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics Interspeech 2023 How Good Is the Model in Model-in-the-loop Event Coreference Resolution Annotation? ACL 2023 How I Learned to Stop Worrying and Love Retraining ICLR 2023 How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? ICLR 2023 How Jellyfish Characterise Alternating Group Equivariant Neural Networks ICML 2023 How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023 How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023 How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules ICLR 2023 How Much Syntactic Supervision is “Good Enough”? EACL 2023 How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech ACL 2023 How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023 How to Choose your Best Allies for a Transferable Attack? ICCV 2023