conftrace_

Application Areas

34,437 papers (4 classified directly here)

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

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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Papers (including subtopics)

Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting EACL 2024 SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification COLING 2024 Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation IJCAI 2024 Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation Interspeech 2024 SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis ACL 2024 SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference AAAI 2024 Separable Self and Mixed Attention Transformers for Efficient Object Tracking WACV 2024 Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024 SEQ-former: A context-enhanced and efficient automatic speech recognition framework Interspeech 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NeurIPS 2024 SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 Sequential LLM Framework for Fashion Recommendation EMNLP 2024 Sequoia: Scalable and Robust Speculative Decoding NeurIPS 2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NeurIPS 2024 SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic ICML 2024 SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation AAAI 2024 SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation ICLR 2024 SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving IJCAI 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024 SHADOW: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer CoRL 2024 ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models EMNLP 2024 ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection From RGB-Thermal Drone Imagery WACV 2024