Application Areas

Backdoor Defense via Decoupling the Training Process ICLR 2022 Backdraft: a Lossless Virtual Switch that Prevents the Slow Receiver Problem NSDI 2022 Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NeurIPS 2022 BagFlip: A Certified Defense Against Data Poisoning NeurIPS 2022 Bag of Instances Aggregation Boosts Self-supervised Distillation ICLR 2022 Balanced MSE for Imbalanced Visual Regression CVPR 2022 Balancing Discriminability and Transferability for Source-Free Domain Adaptation ICML 2022 Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022 Balancing utility and scalability in metric differential privacy UAI 2022 Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022 BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022 BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022 Batch Multi-Fidelity Active Learning with Budget Constraints NeurIPS 2022 BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition AAAI 2022 Bayesian Framework for Gradient Leakage ICLR 2022 Bayesian Invariant Risk Minimization CVPR 2022 Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022 Bayesian Risk Markov Decision Processes NeurIPS 2022 BBQ: A hand-built bias benchmark for question answering ACL 2022 Behind the Mask: Demographic bias in name detection for PII masking ACL 2022 Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks AAAI 2022 BEiT: BERT Pre-Training of Image Transformers ICLR 2022 Be Like Water: Adaptive Floating Point for Machine Learning ICML 2022 Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms NeurIPS 2022 Benchmarking and Analyzing Point Cloud Classification under Corruptions ICML 2022