Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Diversification Catalyzes Language Models’ Instruction Generalization To Unseen Semantics
ACL 2025
Diversified Flow Matching with Translation Identifiability
ICML 2025
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
AAAI 2025
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
ACL 2025
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
NAACL 2025
Diversity-Aware Reinforcement Learning for de novo Drug Design
IJCAI 2025
Diversity-Enhanced Distribution Alignment for Dataset Distillation
ICCV 2025
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
ACL 2025
Diversity-oriented Data Augmentation with Large Language Models
ACL 2025
Diversity-Rewarded CFG Distillation
ICLR 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
IJCAI 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
ICCV 2025
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
CVPR 2025
Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection
UAI 2025
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
AAAI 2025
Divide, Link, and Conquer: Recall-oriented Schema Linking for NL-to-SQL via Question Decomposition
EMNLP 2025
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
EMNLP 2025
Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection
AAAI 2025
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
ACL 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
ACL 2025
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
ACL 2025
Dividing Conflicting Items Fairly
IJCAI 2025
Diving into the Fusion of Monocular Priors for Generalized Stereo Matching
ICCV 2025
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
EMNLP 2025