Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

What Changed? Interpretable Model Comparison IJCAI 2021 What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers EMNLP 2021 What Context Features Can Transformer Language Models Use? ACL 2021 What does BERT Learn from Arabic Machine Reading Comprehension Datasets? EACL 2021 What does LIME really see in images? ICML 2021 What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021 What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability EMNLP 2021 What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think EMNLP 2021 What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension EMNLP 2021 What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL 2021 What is Your Article Based On? Inferring Fine-grained Provenance ACL 2021 What Makes a Scientific Paper be Accepted for Publication? EMNLP 2021 What Matters for Adversarial Imitation Learning? NeurIPS 2021 What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study ICLR 2021 What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021 What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ACL 2021 What’s Hidden in a One-layer Randomly Weighted Transformer? EMNLP 2021 What’s in a Name? Answer Equivalence For Open-Domain Question Answering EMNLP 2021 What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021 What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models EMNLP 2021 What Sounds “Right” to Me? Experiential Factors in the Perception of Political Ideology EACL 2021 What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult AAAI 2021 What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering AAAI 2021 What they do when in doubt: a study of inductive biases in seq2seq learners ICLR 2021 What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts EMNLP 2021