conftrace_

Artificial Intelligence

83,018 papers (0 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Core AI (68,645) Learning Paradigms (14,967) Bayesian & Probabilistic (5,407)

Papers per year

2

2

10

16

4

22

142

170

186

174

228

232

299

478

424

470

688

1,389

2,431

4,106

5,263

6,557

7,659

9,959

14,521

18,823

8,763

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

CAFA: a Controllable Automatic Foley Artist ICCV 2025 CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability EMNLP 2025 Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control ICLR 2025 CafGa: Customizing Feature Attributions to Explain Language Models EMNLP 2025 CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval ACL 2025 CAGCRN: Real-Time Speech Enhancement with a Lightweight Model for Joint Acoustic Echo Cancellation and Noise Suppression Interspeech 2025 CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation AAAI 2025 CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection ICCV 2025 CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval SemEval 2025 CAIR: Counterfactual-based Agent Influence Ranker for Agentic AI Workflows EMNLP 2025 CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners EMNLP 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025 Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025 CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges ACL 2025 Calibrated Language Models and How to Find Them with Label Smoothing ICML 2025 Calibrated Value-Aware Model Learning with Probabilistic Environment Models ICML 2025 Calibrating Expressions of Certainty ICLR 2025 Calibrating Large Language Models with Sample Consistency AAAI 2025 Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025 Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies EMNLP 2025 Calibrating LLMs with Information-Theoretic Evidential Deep Learning ICLR 2025 Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles ICCV 2025 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025 Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025 CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models CVPR 2025