conftrace_

Learning Paradigms

2,205 papers (6 classified directly here)

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

Meta-Learning (1,038) Federated Learning (969) Curriculum Learning (214)

Papers per year

1

1

1

3

1

6

3

7

2

6

3

5

23

54

96

180

283

358

357

398

351

66

'5

'10

'15

'20

'25

Papers (including subtopics)

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning IJCAI 2024 Banded Square Root Matrix Factorization for Differentially Private Model Training NeurIPS 2024 Base Models for Parabolic Partial Differential Equations UAI 2024 Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation ACL 2024 Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024 Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024 Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis ICLR 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages ICLR 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Can LLMs get help from other LLMs without revealing private information? ACL 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024 Causally Aligned Curriculum Learning ICLR 2024 Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024 Characterizing Text Datasets with Psycholinguistic Features EMNLP 2024 Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024