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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1,828

2,498

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Papers (including subtopics)

Dissecting Human and LLM Preferences ACL 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Distillation Enhanced Generative Retrieval ACL 2024 Distillation with Explanations from Large Language Models COLING 2024 Distilled Datamodel with Reverse Gradient Matching CVPR 2024 Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024 Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation CVPR 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Distilling Knowledge from Large-Scale Image Models for Object Detection ECCV 2024 Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP EMNLP 2024 Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control ICML 2024 Distilling ODE Solvers of Diffusion Models into Smaller Steps CVPR 2024 Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning AAAI 2024 Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024 Distilling Text Style Transfer With Self-Explanation From LLMs NAACL 2024 Distilling Vision-Language Models on Millions of Videos CVPR 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 DistillSpec: Improving Speculative Decoding via Knowledge Distillation ICLR 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024 Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution EACL 2024 Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding ECCV 2024 Distributionally Generative Augmentation for Fair Facial Attribute Classification CVPR 2024 Distributionally Robust Data Valuation ICML 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024