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Papers (including subtopics)

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 Rethinking Generalization in Few-Shot Classification NeurIPS 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL ICLR 2022 Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning COLING 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Retrieval Augmented Visual Question Answering with Outside Knowledge EMNLP 2022 RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder EMNLP 2022 Reusing a Multi-lingual Setup to Bootstrap a Grammar Checker for a Very Low Resource Language without Data ACL 2022 Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach NAACL 2022 Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning CVPR 2022 Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models COLING 2022 RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning NAACL 2022 RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle SemEval 2022 RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection NeurIPS 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models ICLR 2022 RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments CoRL 2022 Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models EMNLP 2022 Robust End-to-end Speaker Diarization with Generic Neural Clustering Interspeech 2022 Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022 Robust Fine-Tuning of Zero-Shot Models CVPR 2022 Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances IJCAI 2022 Robust High-Dimensional Classification From Few Positive Examples IJCAI 2022 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022 Robustness of Demonstration-based Learning Under Limited Data Scenario EMNLP 2022